Advances image processing analysis (21 Ergebnisse)

Zustand: New. pp. 174.

Zustand: New. In English.

Zustand: New. pp. 526 Illus.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Paperback. Zustand: Brand New. 1st edition. 506 pages. 9.25x6.25x1.25 inches. In Stock.

Zustand: New. In English.

Zustand: New. In English.

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. In English.

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 - 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. In English.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 538 pages. 9.25x6.10x1.30 inches. In Stock.

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. May contain underlining and/or highlighting. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…