Hyperspectral Image Fusion
Chaudhuri, Subhasis.
Hyperspectral Image Fusion [electronic resource] / by Subhasis Chaudhuri, Ketan Kotwal. - XVI, 191 p. online resource.
Introduction -- Current State of the Art -- Edge-preserving Solution -- Band Selection through Redundancy Elimination -- Bayesian Estimation -- Variational Solution -- Optimization-based Fusion -- Band Selection: Revisited -- Performance Assessment of Fusion Techniques -- Results and Discussions -- Conclusions and Directions for Future Research.
Hyperspectral Image Fusion is the first text dedicated to the fusion techniques for such a huge volume of data consisting of a very large number of images. This monograph brings out recent advances in the research in the area of visualization of hyperspectral data. It provides a set of pixel-based fusion techniques, each of which is based on a different framework and has its own advantages and disadvantages. The techniques are presented with complete details so that practitioners can easily implement them. It is also demonstrated how one can select only a few specific bands to speed up the process of fusion by exploiting spatial correlation within successive bands of the hyperspectral data. While the techniques for fusion of hyperspectral images are being developed, it is also important to establish a framework for objective assessment of such techniques. This monograph has a dedicated chapter describing various fusion performance measures that are applicable to hyperspectral image fusion. This monograph also presents a notion of consistency of a fusion technique which can be used to verify the suitability and applicability of a technique for fusion of a very large number of images. This book will be a highly useful resource to the students, researchers, academicians and practitioners in the specific area of hyperspectral image fusion, as well as generic image fusion.
9781461474708
10.1007/978-1-4614-7470-8 doi
Computer science.
Data mining.
Image processing.
Computer Science.
Image Processing and Computer Vision.
Data Mining and Knowledge Discovery.
Signal, Image and Speech Processing.
TA1637-1638 TA1634
006.6 006.37
Hyperspectral Image Fusion [electronic resource] / by Subhasis Chaudhuri, Ketan Kotwal. - XVI, 191 p. online resource.
Introduction -- Current State of the Art -- Edge-preserving Solution -- Band Selection through Redundancy Elimination -- Bayesian Estimation -- Variational Solution -- Optimization-based Fusion -- Band Selection: Revisited -- Performance Assessment of Fusion Techniques -- Results and Discussions -- Conclusions and Directions for Future Research.
Hyperspectral Image Fusion is the first text dedicated to the fusion techniques for such a huge volume of data consisting of a very large number of images. This monograph brings out recent advances in the research in the area of visualization of hyperspectral data. It provides a set of pixel-based fusion techniques, each of which is based on a different framework and has its own advantages and disadvantages. The techniques are presented with complete details so that practitioners can easily implement them. It is also demonstrated how one can select only a few specific bands to speed up the process of fusion by exploiting spatial correlation within successive bands of the hyperspectral data. While the techniques for fusion of hyperspectral images are being developed, it is also important to establish a framework for objective assessment of such techniques. This monograph has a dedicated chapter describing various fusion performance measures that are applicable to hyperspectral image fusion. This monograph also presents a notion of consistency of a fusion technique which can be used to verify the suitability and applicability of a technique for fusion of a very large number of images. This book will be a highly useful resource to the students, researchers, academicians and practitioners in the specific area of hyperspectral image fusion, as well as generic image fusion.
9781461474708
10.1007/978-1-4614-7470-8 doi
Computer science.
Data mining.
Image processing.
Computer Science.
Image Processing and Computer Vision.
Data Mining and Knowledge Discovery.
Signal, Image and Speech Processing.
TA1637-1638 TA1634
006.6 006.37