At least introductory statistics (and preferably multivariate statistics) recommended. This course pursues both the algorithms involved in processing remote sensing images and their application. Topics include preprocessing, image transformations, image classification and segmentation, spectral mixture analysis, and change detection. Examples cover a wide range of environmental applications of remote sensing. Students do a project. Meets with EE 444.