00000cmm a22000004a 4500 UP-99796217611212023 Buklod 20140423144952.0 m go j cr cn |||aaaaa 110322s2011 xx u | eng d 9783642142123 (eBook) 3642142125 (eBook) (iLib)UPD-00214608171 DLC DML eng DMLUC TK 5102.5 O68 2011eb Optical remote sensing [electronic resource] advances in signal processing and exploitation techniques Saurabh Prasad, Lori M. Bruce, Jocelyn Chanussot, editors. Berlin Heidelberg Springer c2011. 1 online resource (vii, 341 p.) ill. Augmented Vision and Reality pre-processing images -- storing and representing high dimensional data -- fusing different sensor modalities -- pattern classification and target recognition -- visualization of high dimensional imagery. IP-based subscription, access limited to within on-campus computer network. Access via Electronic Resources of the UPD University Library Website. Summary. Optical remote sensing involves acquisition and analysis of optical data ? electromagnetic radiation captured by the sensing modality after reflecting off an area of interest on ground.  Optical image acquisition modalities have come a long way ? from gray-scale photogrammetric images to hyperspectral images. The advances in imaging hardware over recent decades have enabled availability of high spatial, spectral and temporal resolution imagery to the remote sensing analyst. These advances have created unique challenges for researchers in the remote sensing community working on algorithms for representation, exploitation and analysis of such data. Early optical remote sensing systems relied on multispectral sensors, which are characterized by a small number of wide spectral bands. Although multispectral sensors are still employed by analysts, in recent years, the remote sensing community has seen a steady shift to hyperspectral sensors, which are characterized by hundreds of fine resolution co-registered spectral bands, as the dominant optical sensing technology. Such data has the potential to reveal the underlying phenomenology as described by spectral characteristics accurately. This ?extension? from multispectral to hyperspectral imaging does not imply that the signal processing and exploitation techniques can be simply scaled up to accommodate the extra dimensions in the data. This book presents state-of-the-art signal processing and exploitation algorithms that address three key challenges within the context of modern optical remote sensing: (1) Representation and visualization of high dimensional data for efficient and reliable transmission, storage and interpretation; (2) Statistical pattern classification for robust land-cover-classification, target recognition and pixel unmixing; (3) Fusion of multi-sensor data to effectively exploit multiple sources of information for analysis. Electronic reproduction. New York SpringerLink 2011. Available via World Wide Web through SpringerLink. Signal processing. Remote sensing. Image processing Digital techniques. Electronic books. Prasad, Saurabh. Bruce, Lori M. Chanussot, Jocelyn. SpringerLink (Online service). Available for University of the Philippines Diliman via SpringerLink. Click here to access http://link.springer.com/book/10.1007/978-3-642-14212-3 FO Monograph UPD DMLR Electronic Resource