Chanussot jocelyn (33 Ergebnisse)

paperback. Zustand: Very Good.

Zustand: New. In English.

hardcover. Zustand: Gut. 352 Seiten; 9783642142116.3 Gewicht in Gramm: 1.

Zustand: New. Editor(s): Benediktsson, Jon Atli; Chanussot, Jocelyn; Najman, Laurent; Talbot, Hugues. Series: Lecture Notes in Computer Science. Num Pages: 768 pages, 324 black & white illustrations, biography. BIC Classification: PBD; UYAM; UYT. Category: (G) General (US: Trade). Dimension: 235 x 155 x 39. Weight in Grams: 1157. . 2015. Paperback. . . . . Books ship from the US and Ireland.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains the thoroughly refereed proceedings of the 12th International Symposium on Mathematical Morphology, ISMM 2015 held in Reykjavik, Iceland, in May 2015. The 62 revised full papers were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on evaluations and applications; hierarchies; color, multivalued and orientation fields; optimization, differential calculus and probabilities; topology and discrete geometry; and algorithms and implementation.…

Paperback. Zustand: Brand New. 2015 edition. 768 pages. 9.25x6.10x1.73 inches. In Stock.

hardcover. Zustand: Fine.

Zustand: New. In English.

Zustand: New.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Optical Remote Sensing | Advances in Signal Processing and Exploitation Techniques | Saurabh Prasad (u. a.) | Taschenbuch | Augmented Vision and Reality | viii | Englisch | 2013 | Springer | EAN 9783642267475 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Taschenbuch. Zustand: Neu. Hyperspectral Image Analysis | Advances in Machine Learning and Signal Processing | Saurabh Prasad (u. a.) | Taschenbuch | Advances in Computer Vision and Pattern Recognition | vi | Englisch | 2021 | Springer | EAN 9783030386191 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Zustand: New. In English.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 352 | Sprache: Englisch | Produktart: Bücher | Optical remote sensing relies on exploiting multispectral and hyper spectral imagery possessing high spatial and spectral resolutions respectively. These modalities, although useful for most remote sensing tasks, often present challenges that must be addressed for their effective exploitation. This book presents current state-of-the-art algorithms that address the following key challenges encountered in representation and analysis of such optical remotely sensed data.Challenges in pre-processing images, storing and representing high dimensional data, fusing different sensor modalities, pattern classification and target recognition, visualization of high dimensional imagery.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Optical remote sensing relies on exploiting multispectral and hyper spectral imagery possessing high spatial and spectral resolutions respectively. These modalities, although useful for most remote sensing tasks, often present challenges that must be addressed for their effective exploitation. This book presents current state-of-the-art algorithms that address the following key challenges encountered in representation and analysis of such optical remotely sensed data.Challenges in pre-processing images, storing and representing high dimensional data, fusing different sensor modalities, pattern classification and target recognition, visualization of high dimensional imagery.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning, multiple instance learning, sparse representation based learning, low-dimensional manifold models,anomalouschange detection, target recognition, sensor fusion and super-resolution for robust multispectral and hyperspectral image understanding.It presents research from leading international experts who have made foundational contributions in these areas.The book covers a diverse array of applications of multispectral/hyperspectral imagery in the context of these algorithms, including remote sensing, face recognition and biomedicine. This book would be particularly beneficial to graduate students and researchers who are taking advanced courses in (or are working in) the areas ofimage analysis, machine learning and remote sensing with multi-channel optical imagery. Researchers and professionals in academia and industry working in areas such as electrical engineering, civil and environmental engineering, geosciences and biomedical image processing, who work with multi-channel optical data will find this book useful.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Optical remote sensing relies on exploiting multispectral and hyper spectral imagery possessing high spatial and spectral resolutions respectively. These modalities, although useful for most remote sensing tasks, often present challenges that must be addressed for their effective exploitation. This book presents current state-of-the-art algorithms that address the following key challenges encountered in representation and analysis of such optical remotely sensed data.Challenges in pre-processing images, storing and representing high dimensional data, fusing different sensor modalities, pattern classification and target recognition, visualization of high dimensional imagery.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning, multiple instance learning, sparse representation based learning, low-dimensional manifold models,anomalouschange detection, target recognition, sensor fusion and super-resolution for robust multispectral and hyperspectral image understanding.It presents research from leading international experts who have made foundational contributions in these areas.The book covers a diverse array of applications of multispectral/hyperspectral imagery in the context of these algorithms, including remote sensing, face recognition and biomedicine. This book would be particularly beneficial to graduate students and researchers who are taking advanced courses in (or are working in) the areas ofimage analysis, machine learning and remote sensing with multi-channel optical imagery. Researchers and professionals in academia and industry working in areas such as electrical engineering, civil and environmental engineering, geosciences and biomedical image processing, who work with multi-channel optical data will find this book useful.…

Zustand: New. Covers the latest machine learning and signal processing techniques that can effectively leverage multimodal geospatial imagery at scaleChapters cover a variety of algorithmic frameworks pertaining to GeoAI, including superresolution, self-.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 352 | Sprache: Englisch | Produktart: Bücher | Optical remote sensing relies on exploiting multispectral and hyper spectral imagery possessing high spatial and spectral resolutions respectively. These modalities, although useful for most remote sensing tasks, often present challenges that must be addressed for their effective exploitation. This book presents current state-of-the-art algorithms that address the following key challenges encountered in representation and analysis of such optical remotely sensed data. Challenges in pre-processing images, storing and representing high dimensional data, fusing different sensor modalities, pattern classification and target recognition, visualization of high dimensional imagery.…

Hardcover. Zustand: Brand New. 320 pages. 9.18x6.12x9.21 inches. In Stock.

Paperback. Zustand: Brand New. 2011 edition. 352 pages. 9.25x6.10x0.80 inches. In Stock.

Hardcover. Zustand: Brand New. 349 pages. 9.25x6.00x0.75 inches. In Stock.

Paperback. Zustand: Brand New. 472 pages. 9.25x6.10x0.95 inches. In Stock.

Hardcover. Zustand: Brand New. 466 pages. 9.25x6.00x1.25 inches. In Stock.

Zustand: New.

Zustand: New.