Beschreibung:
This book presents algorithms that address such key challenges in the representation and analysis of optical remotely sensed data as pre-processing images, storing and representing high dimensional data, and visualization of high dimensional imagery.
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.
pre-processing images.- storing and representing high dimensional data.- fusing different sensor modalities.- pattern classification and target recognition.- visualization of high dimensional imagery.