Image Processing For Remote Sensing Iee Colloquium On

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Signal and Image Processing for Remote Sensing

Author : C.H. Chen
Publisher : CRC Press
ISBN 13 : 1040031250
Total Pages : 433 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Signal and Image Processing for Remote Sensing by : C.H. Chen

Download or read book Signal and Image Processing for Remote Sensing written by C.H. Chen and published by CRC Press. This book was released on 2024-06-11 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in signal and image processing for remote sensing have been tremendous in recent years. The progress has been particularly significant with the use of deep learning based techniques to solve remote sensing problems. These advancements are the focus of this third edition of Signal and Image Processing for Remote Sensing. It emphasizes the use of machine learning approaches for the extraction of remote sensing information. Other topics include change detection in remote sensing and compressed sensing. With 19 new chapters written by world leaders in the field, this book provides an authoritative examination and offers a unique point of view on signal and image processing. Features Includes all new content and does not replace the previous edition Covers machine learning approaches in both signal and image processing for remote sensing Studies deep learning methods for remote sensing information extraction that is found in other books Explains SAR, microwave, seismic, GPR, and hyperspectral sensors and all sensors considered Discusses improved pattern classification approaches and compressed sensing approaches Provides ample examples of each aspect of both signal and image processing This book is intended for university academics, researchers, postgraduate students, industry, and government professionals who use remote sensing and its applications.

Image Processing for Remote Sensing, IEE Colloquium on

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (812 download)

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Book Synopsis Image Processing for Remote Sensing, IEE Colloquium on by :

Download or read book Image Processing for Remote Sensing, IEE Colloquium on written by and published by . This book was released on 1996 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Image Processing for Remote Sensing

Author : C.H. Chen
Publisher : CRC Press
ISBN 13 : 142006665X
Total Pages : 417 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Image Processing for Remote Sensing by : C.H. Chen

Download or read book Image Processing for Remote Sensing written by C.H. Chen and published by CRC Press. This book was released on 2007-10-17 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: Edited by leaders in the field, with contributions by a panel of experts, Image Processing for Remote Sensing explores new and unconventional mathematics methods. The coverage includes the physics and mathematical algorithms of SAR images, a comprehensive treatment of MRF-based remote sensing image classification, statistical approaches for

Signal and Image Processing for Remote Sensing, Second Edition

Author : C.H. Chen
Publisher : CRC Press
ISBN 13 : 143985596X
Total Pages : 623 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Signal and Image Processing for Remote Sensing, Second Edition by : C.H. Chen

Download or read book Signal and Image Processing for Remote Sensing, Second Edition written by C.H. Chen and published by CRC Press. This book was released on 2012-02-22 with total page 623 pages. Available in PDF, EPUB and Kindle. Book excerpt: Continuing in the footsteps of the pioneering first edition, Signal and Image Processing for Remote Sensing, Second Edition explores the most up-to-date signal and image processing methods for dealing with remote sensing problems. Although most data from satellites are in image form, signal processing can contribute significantly in extracting information from remotely sensed waveforms or time series data. This book combines both, providing a unique balance between the role of signal processing and image processing. Featuring contributions from worldwide experts, this book continues to emphasize mathematical approaches. Not limited to satellite data, it also considers signals and images from hydroacoustic, seismic, microwave, and other sensors. Chapters cover important topics in signal and image processing and discuss techniques for dealing with remote sensing problems. Each chapter offers an introduction to the topic before delving into research results, making the book accessible to a broad audience. This second edition reflects the considerable advances that have occurred in the field, with 23 of 27 chapters being new or entirely rewritten. Coverage includes new mathematical developments such as compressive sensing, empirical mode decomposition, and sparse representation, as well as new component analysis methods such as non-negative matrix and tensor factorization. The book also presents new experimental results on SAR and hyperspectral image processing. The emphasis is on mathematical techniques that will far outlast the rapidly changing sensor, software, and hardware technologies. Written for industrial and academic researchers and graduate students alike, this book helps readers connect the "dots" in image and signal processing. New in This Edition The second edition includes four chapters from the first edition, plus 23 new or entirely rewritten chapters, and 190 new figures. New topics covered include: Compressive sensing The mixed pixel problem with hyperspectral images Hyperspectral image (HSI) target detection and classification based on sparse representation An ISAR technique for refocusing moving targets in SAR images Empirical mode decomposition for signal processing Feature extraction for classification of remote sensing signals and images Active learning methods in classification of remote sensing images Signal subspace identification of hyperspectral data Wavelet-based multi/hyperspectral image restoration and fusion The second edition is not intended to replace the first edition entirely and readers are encouraged to read both editions of the book for a more complete picture of signal and image processing in remote sensing. See Signal and Image Processing for Remote Sensing (CRC Press 2006).

IEEE International Geoscience and Remote Sensing Symposium Proceedings

Author :
Publisher :
ISBN 13 :
Total Pages : 792 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis IEEE International Geoscience and Remote Sensing Symposium Proceedings by :

Download or read book IEEE International Geoscience and Remote Sensing Symposium Proceedings written by and published by . This book was released on 2003 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Frontiers Of Remote Sensing Information Processing

Author : Chi Hau Chen
Publisher : World Scientific
ISBN 13 : 9814486183
Total Pages : 629 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Frontiers Of Remote Sensing Information Processing by : Chi Hau Chen

Download or read book Frontiers Of Remote Sensing Information Processing written by Chi Hau Chen and published by World Scientific. This book was released on 2003-07-07 with total page 629 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by leaders in the field of remote sensing information processing, this book covers the frontiers of remote sensors, especially with effective algorithms for signal/image processing and pattern recognition with remote sensing data. Sensor and data fusion issues, SAR images, hyperspectral images, and related special topics are also examined. Techniques making use of neural networks, wavelet transforms, and knowledge-based systems are emphasized. A special set of three chapters is devoted to seismic analysis and discrimination.In summary, the book provides an authoritative treatment of major topics in remote sensing information processing and defines new frontiers for these areas.

Power Engineering and Intelligent Systems

Author : Vivek Shrivastava
Publisher : Springer Nature
ISBN 13 : 9819767105
Total Pages : 559 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Power Engineering and Intelligent Systems by : Vivek Shrivastava

Download or read book Power Engineering and Intelligent Systems written by Vivek Shrivastava and published by Springer Nature. This book was released on with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt:

2021 IEEE International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI)

Download 2021 IEEE International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI) PDF Online Free

Author : IEEE Staff
Publisher :
ISBN 13 : 9781665446129
Total Pages : pages
Book Rating : 4.4/5 (461 download)

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Book Synopsis 2021 IEEE International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI) by : IEEE Staff

Download or read book 2021 IEEE International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI) written by IEEE Staff and published by . This book was released on 2021-09-24 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: CEI 2021 will bring together top professionals from industry, government, and academia from around the world CEI 2021 includes invited talks, oral presentations and poster presentations of refereed papers We invite submissions of papers and abstracts on all topics related to consumer electronics and computer engineering The conference will provide networking opportunities for participants to share ideas, designs, and experiences on the state of the art and future direction of consumer technologies and computer technology CEI 2021 will feature a high quality technical & experiential program dealing with a mix of traditional and contemporary hot topics in paper presentations and high profile keynotes

Progress in Image Analysis and Processing, ICIAP 2013

Author : Alfredo Petrosino
Publisher : Springer
ISBN 13 : 3642411819
Total Pages : 883 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Progress in Image Analysis and Processing, ICIAP 2013 by : Alfredo Petrosino

Download or read book Progress in Image Analysis and Processing, ICIAP 2013 written by Alfredo Petrosino and published by Springer. This book was released on 2013-09-02 with total page 883 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set (LNCS 8156 and 8157) constitutes the refereed proceedings of the 17th International Conference on Image Analysis and Processing, ICIAP 2013, held in Naples, Italy, in September 2013. The 162 papers presented were carefully reviewed and selected from 354 submissions. The papers aim at highlighting the connection and synergies of image processing and analysis with pattern recognition and machine learning, human computer systems, biomedical imaging and applications, multimedia interaction and processing, 3D computer vision, and understanding objects and scene.

Machine Learning, Image Processing, Network Security and Data Sciences

Author : Rajesh Doriya
Publisher : Springer Nature
ISBN 13 : 9811958688
Total Pages : 886 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Machine Learning, Image Processing, Network Security and Data Sciences by : Rajesh Doriya

Download or read book Machine Learning, Image Processing, Network Security and Data Sciences written by Rajesh Doriya and published by Springer Nature. This book was released on 2023-01-01 with total page 886 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2021. The papers are organized according to the following topical sections: data science and big data; image processing and computer vision; machine learning and computational intelligence; network and cybersecurity. This book aims to develop an understanding of image processing, networks, and data modeling by using various machine learning algorithms for a wide range of real-world applications. In addition to providing basic principles of data processing, this book teaches standard models and algorithms for data and image analysis.

Recent Trends in Signal and Image Processing

Author : Siddhartha Bhattacharyya
Publisher : Springer Nature
ISBN 13 : 9813369663
Total Pages : 167 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Recent Trends in Signal and Image Processing by : Siddhartha Bhattacharyya

Download or read book Recent Trends in Signal and Image Processing written by Siddhartha Bhattacharyya and published by Springer Nature. This book was released on 2021-04-01 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the Third International Symposium on Signal and Image Processing (ISSIP 2020), organized by the Department of Information Technology, RCC Institute of Information Technology, Kolkata, during March 18–19, 2020. It presents fascinating, state-of-the-art research findings in the field of signal and image processing. It includes conference papers covering a wide range of signal processing applications involving filtering, encoding, classification, segmentation, clustering, feature extraction, denoising, watermarking, object recognition, reconstruction and fractal analysis. It addresses various types of signals, such as image, video, speech, non-speech audio, handwritten text, geometric diagram, ECG and EMG signals; MRI, PET and CT scan images; THz signals; solar wind speed signals (SWS); and photoplethysmogram (PPG) signals, and demonstrates how new paradigms of intelligent computing, like quantum computing, can be applied to process and analyze signals precisely and effectively.

Proceedings of International Conference on Computer Vision and Image Processing

Author : Balasubramanian Raman
Publisher : Springer
ISBN 13 : 981102104X
Total Pages : 623 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Proceedings of International Conference on Computer Vision and Image Processing by : Balasubramanian Raman

Download or read book Proceedings of International Conference on Computer Vision and Image Processing written by Balasubramanian Raman and published by Springer. This book was released on 2016-12-22 with total page 623 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume contains technical contributions in the field of computer vision and image processing presented at the First International Conference on Computer Vision and Image Processing (CVIP 2016). The contributions are thematically divided based on their relation to operations at the lower, middle and higher levels of vision systems, and their applications. The technical contributions in the areas of sensors, acquisition, visualization and enhancement are classified as related to low-level operations. They discuss various modern topics – reconfigurable image system architecture, Scheimpflug camera calibration, real-time autofocusing, climate visualization, tone mapping, super-resolution and image resizing. The technical contributions in the areas of segmentation and retrieval are classified as related to mid-level operations. They discuss some state-of-the-art techniques – non-rigid image registration, iterative image partitioning, egocentric object detection and video shot boundary detection. The technical contributions in the areas of classification and retrieval are categorized as related to high-level operations. They discuss some state-of-the-art approaches – extreme learning machines, and target, gesture and action recognition. A non-regularized state preserving extreme learning machine is presented for natural scene classification. An algorithm for human action recognition through dynamic frame warping based on depth cues is given. Target recognition in night vision through convolutional neural network is also presented. Use of convolutional neural network in detecting static hand gesture is also discussed. Finally, the technical contributions in the areas of surveillance, coding and data security, and biometrics and document processing are considered as applications of computer vision and image processing. They discuss some contemporary applications. A few of them are a system for tackling blind curves, a quick reaction target acquisition and tracking system, an algorithm to detect for copy-move forgery based on circle block, a novel visual secret sharing scheme using affine cipher and image interleaving, a finger knuckle print recognition system based on wavelet and Gabor filtering, and a palmprint recognition based on minutiae quadruplets.

Collected Works (volume 1): Published Papers

Author : STEPHEN LUTTRELL
Publisher : Stephen Luttrell
ISBN 13 :
Total Pages : 508 pages
Book Rating : 4./5 ( download)

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Book Synopsis Collected Works (volume 1): Published Papers by : STEPHEN LUTTRELL

Download or read book Collected Works (volume 1): Published Papers written by STEPHEN LUTTRELL and published by Stephen Luttrell. This book was released on 2023-10-24 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: The motivation for the research that is described in these volumes is the wish to explain things in terms of their underlying causes, rather than merely being satisfied with phenomenological descriptions. When this reductionist approach is applied to information processing it allows the internal structure of information to be analysed, so information processing algorithms can then be derived from first principles. One of the simplest examples of this approach is the diagonalisation of a data covariance matrix – there are many variants of this basic approach, such as singular value decomposition – in which the assumed independent components of high-dimensional data are identified and extracted. The main limitation of this type of information analysis approach is that it is based on linear algebra applied globally to the data space, so it is unable to preserve information about any local data structure in the data space. For instance, if the data lives on a low-dimensional curved manifold embedded in the data space, then only the global properties of this manifold would be preserved by global linear algebra methods. In practice, data whose high-dimensional structure is non-trivial typically lives on a noisy version of a curved manifold, so techniques for analysing such data must automatically handle this type of structure. For instance, a blurred image of a point source is described by its underlying degrees of freedom – i.e. the position of the source – and as the source moves about it generates a curved manifold that lives in the high-dimensional space of pixel values of the sampled image. The basic problem is then to deduce the internal properties of this manifold by analysing examples of such images. A more challenging problem would be to extend this analysis to images that contain several overlapping blurred images of point sources, and so on. There is no limit to the complexity of the types of high-dimensional data that one might want to analyse. These methods then need to be automated so that they do not rely on human intervention, which would then allow them to be inserted as “components” into information processing networks. The purpose of the research that is described in these volumes is to develop principled information processing methods that can be used for such analysis. Self-organising information processing networks arise naturally in this context, in which ways of cutting up the original manifold into simpler pieces emerge automatically.

Collected Works (volume 4): Unpublished Papers

Author : STEPHEN LUTTRELL
Publisher : Stephen Luttrell
ISBN 13 :
Total Pages : 230 pages
Book Rating : 4./5 ( download)

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Book Synopsis Collected Works (volume 4): Unpublished Papers by : STEPHEN LUTTRELL

Download or read book Collected Works (volume 4): Unpublished Papers written by STEPHEN LUTTRELL and published by Stephen Luttrell. This book was released on 2023-10-25 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: The motivation for the research that is described in these volumes is the wish to explain things in terms of their underlying causes, rather than merely being satisfied with phenomenological descriptions. When this reductionist approach is applied to information processing it allows the internal structure of information to be analysed, so information processing algorithms can then be derived from first principles. One of the simplest examples of this approach is the diagonalisation of a data covariance matrix – there are many variants of this basic approach, such as singular value decomposition – in which the assumed independent components of high-dimensional data are identified and extracted. The main limitation of this type of information analysis approach is that it is based on linear algebra applied globally to the data space, so it is unable to preserve information about any local data structure in the data space. For instance, if the data lives on a low-dimensional curved manifold embedded in the data space, then only the global properties of this manifold would be preserved by global linear algebra methods. In practice, data whose high-dimensional structure is non-trivial typically lives on a noisy version of a curved manifold, so techniques for analysing such data must automatically handle this type of structure. For instance, a blurred image of a point source is described by its underlying degrees of freedom – i.e. the position of the source – and as the source moves about it generates a curved manifold that lives in the high-dimensional space of pixel values of the sampled image. The basic problem is then to deduce the internal properties of this manifold by analysing examples of such images. A more challenging problem would be to extend this analysis to images that contain several overlapping blurred images of point sources, and so on. There is no limit to the complexity of the types of high-dimensional data that one might want to analyse. These methods then need to be automated so that they do not rely on human intervention, which would then allow them to be inserted as “components” into information processing networks. The purpose of the research that is described in these volumes is to develop principled information processing methods that can be used for such analysis. Self-organising information processing networks arise naturally in this context, in which ways of cutting up the original manifold into simpler pieces emerge automatically.

Super-Resolution for Remote Sensing

Author : Michal Kawulok
Publisher : Springer Nature
ISBN 13 : 3031681061
Total Pages : 392 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Super-Resolution for Remote Sensing by : Michal Kawulok

Download or read book Super-Resolution for Remote Sensing written by Michal Kawulok and published by Springer Nature. This book was released on with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Hyperspectral Indices and Image Classifications for Agriculture and Vegetation

Author : Prasad S. Thenkabail
Publisher : CRC Press
ISBN 13 : 1351659251
Total Pages : 333 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Hyperspectral Indices and Image Classifications for Agriculture and Vegetation by : Prasad S. Thenkabail

Download or read book Hyperspectral Indices and Image Classifications for Agriculture and Vegetation written by Prasad S. Thenkabail and published by CRC Press. This book was released on 2018-12-07 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing state-of- the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation. Volume II, Hyperspectral Indices and Image Classifications for Agriculture and Vegetation evaluates the performance of hyperspectral narrowband or imaging spectroscopy data with specific emphasis on the uses and applications of hyperspectral narrowband vegetation indices in characterizing, modeling, mapping, and monitoring agricultural crops and vegetation. This volume presents and discusses topics such as the non-invasive quantification of foliar pigments, leaf nitrogen concentration of cereal crop, the estimation of nitrogen content in crops and pastures, and forest leaf chlorophyll content, among others. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume II through the editors’ perspective. Key Features of Volume II: Provides the fundamentals of hyperspectral narrowband vegetation indices and hyperspectral derivative vegetation indices and their applications in agriculture and vegetation studies. Discusses the latest advances in hyperspectral image classification methods and their applications. Explains the massively big hyperspectral sensing data processing on cloud computing architectures. Highlights the state-of-the-art methods in the field of hyperspectral narrowband vegetation indices for monitoring agriculture, vegetation, and their properties such as plant water content, nitrogen, chlorophyll, and others at leaf, canopy, field, and landscape scales. Includes best global expertise on hyperspectral remote sensing of agriculture, crop water use, plant species detection, crop productivity and water productivity mapping, and modeling.

Advances in Machine Learning and Image Analysis for GeoAI

Author : Saurabh Prasad
Publisher : Elsevier
ISBN 13 : 044319078X
Total Pages : 366 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Advances in Machine Learning and Image Analysis for GeoAI by : Saurabh Prasad

Download or read book Advances in Machine Learning and Image Analysis for GeoAI written by Saurabh Prasad and published by Elsevier. This book was released on 2024-04-26 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Machine Learning and Image Analysis for GeoAI provides state-of-the-art machine learning and signal processing techniques for a comprehensive collection of geospatial sensors and sensing platforms. The book covers supervised, semi-supervised and unsupervised geospatial image analysis, sensor fusion across modalities, image super-resolution, transfer learning across sensors and time-points, and spectral unmixing among other topics. The chapters in these thematic areas cover a variety of algorithmic frameworks such as variants of convolutional neural networks, graph convolutional networks, multi-stream networks, Bayesian networks, generative adversarial networks, transformers and more.Advances in Machine Learning and Image Analysis for GeoAI provides graduate students, researchers and practitioners in the area of signal processing and geospatial image analysis with the latest techniques to implement deep learning strategies in their research. - Covers the latest machine learning and signal processing techniques that can effectively leverage multimodal geospatial imagery at scale - Chapters cover a variety of algorithmic frameworks pertaining to GeoAI, including superresolution, self-supervised learning, data fusion, explainable AI, among others - Presents cutting-edge deep learning architectures optimized for a wide array of geospatial imagery