The following text may have been generated by Optical Character Recognition, with varying degrees of accuracy. Reader beware!

Award enables remote sensing work Continued from page 21 The remote sensing imagery is generated by RADARSAT, a Canadian satellite carrying a SAR (Synâ€" thetic Aperture Radar) senâ€" sor. This sensor produces images that provide unique information compared with visible band cameras and, unlike visible band sensors, can _ capture â€" imagery through most weather sysâ€" tems and even in darkness. given the vast. inaccessible regions that need to be monitored. and landlords at www.tgao.cs. a site launched by the "The funding will allow me to continue working on what‘s been referred to as the ‘holy grail" â€" David Clausi UW professor The research challenge, Clausi said, is to create algoâ€" rithms that perceive the image data in the same manner as the human operâ€" ator, accounting for variabilâ€" ity of the data because of natural Auctuations in the scene and artifacts in the imaging system. "Remote sensing images are generally quite large and require considerable time and effort to manually process and interpret," Clausi explained. "Certain map products are not feasiâ€" bly produced by a human operator and computer vision algorithms are necesâ€" sary to perform such tasks." Besides Clausi, lead members of the research team include Prof. Philippe Maillard, Universidade Fedâ€" eral de Minas Gerais, Brazil; and Mohammed Shokr, Atmospheric Environment Service. Additional support is provided by personnel with the Canadian Ice Serâ€" vice, Canadian Centre for Climate Modelling and Analysis, Climate Processing and Earth Observation Diviâ€" sion, and the Department of Geography at the University of Toronto. Industry participants include PCI Geomatica, Enfotec _ and _ Noetix Research Inc.