2008 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’2008)
Abstract:Recently, due to the advancement of remote sensors, optical remote sensing has been a significant increase in the number of spectral bands in acquired data, going from multispectral to hyperspectral. Hyperspectral imagery with hundreds of bands offers high spectral resolution and provides the potential accuracy in detection and classification of targets unresolved in multispectral images. However, higher spectral resolution increases the computation complexity in image processing. Thus, how to improve the accuracy with less computation complexity is the main challenge for hyperspectral image classification.