signal image processing remote sensing von chen c h (32 Ergebnisse)

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Hardcover. Zustand: new. Hardcover. 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.FeaturesIncludes all new content and does not replace the previous editionCovers machine learning approaches in both signal and image processing for remote sensingStudies deep learning methods for remote sensing information extraction that is found in other booksExplains SAR, microwave, seismic, GPR, and hyperspectral sensors and all sensors consideredDiscusses improved pattern classification approaches and compressed sensing approachesProvides ample examples of each aspect of both signal and image processingThis book is intended for university academics, researchers, postgraduate students, industry, and government professionals who use remote sensing and its applications. This new edition of Signal and Image Processing for Remote Sensing emphasizes the use of machine learning approaches to remote sensing information extraction, change detection, and compressed sensing. With 19 new chapters written by world leaders in the field, it provides an authoritative coverage of the recent progress in the field. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Hardcover. Zustand: new. Hardcover. 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.FeaturesIncludes all new content and does not replace the previous editionCovers machine learning approaches in both signal and image processing for remote sensingStudies deep learning methods for remote sensing information extraction that is found in other booksExplains SAR, microwave, seismic, GPR, and hyperspectral sensors and all sensors consideredDiscusses improved pattern classification approaches and compressed sensing approachesProvides ample examples of each aspect of both signal and image processingThis book is intended for university academics, researchers, postgraduate students, industry, and government professionals who use remote sensing and its applications. This new edition of Signal and Image Processing for Remote Sensing emphasizes the use of machine learning approaches to remote sensing information extraction, change detection, and compressed sensing. With 19 new chapters written by world leaders in the field, it provides an authoritative coverage of the recent progress in the field. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Zustand: New. Prof. C.H. Chen received his Ph. D in electrical engineering from Purdue University West Lafayette, Indiana, in 1965, his MSEE from the University of Tennessee, Knoxville, in 1962, and his BSEE from the National Taiwan University, Taipei in 1959. He is c.

Hardback. Zustand: New. 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.FeaturesIncludes all new content and does not replace the previous editionCovers machine learning approaches in both signal and image processing for remote sensingStudies deep learning methods for remote sensing information extraction that is found in other booksExplains SAR, microwave, seismic, GPR, and hyperspectral sensors and all sensors consideredDiscusses improved pattern classification approaches and compressed sensing approachesProvides ample examples of each aspect of both signal and image processingThis book is intended for university academics, researchers, postgraduate students, industry, and government professionals who use remote sensing and its applications.

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Buch. Zustand: Neu. Signal and Image Processing for Remote Sensing | C. H. Chen | Buch | Einband - fest (Hardcover) | Englisch | 2024 | CRC Press | EAN 9781032437415 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Hardback. Zustand: New. 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.FeaturesIncludes all new content and does not replace the previous editionCovers machine learning approaches in both signal and image processing for remote sensingStudies deep learning methods for remote sensing information extraction that is found in other booksExplains SAR, microwave, seismic, GPR, and hyperspectral sensors and all sensors consideredDiscusses improved pattern classification approaches and compressed sensing approachesProvides ample examples of each aspect of both signal and image processingThis book is intended for university academics, researchers, postgraduate students, industry, and government professionals who use remote sensing and its applications.

Hardcover. Zustand: new. Hardcover. 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.FeaturesIncludes all new content and does not replace the previous editionCovers machine learning approaches in both signal and image processing for remote sensingStudies deep learning methods for remote sensing information extraction that is found in other booksExplains SAR, microwave, seismic, GPR, and hyperspectral sensors and all sensors consideredDiscusses improved pattern classification approaches and compressed sensing approachesProvides ample examples of each aspect of both signal and image processingThis book is intended for university academics, researchers, postgraduate students, industry, and government professionals who use remote sensing and its applications. This new edition of Signal and Image Processing for Remote Sensing emphasizes the use of machine learning approaches to remote sensing information extraction, change detection, and compressed sensing. With 19 new chapters written by world leaders in the field, it provides an authoritative coverage of the recent progress in the field. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.