Title :
A knowledge-based inversion of physical BRDF model and three examples
Author :
Li, Xiaowen ; Strahler, Alan
Author_Institution :
Centre for Remote Sensing, Boston Univ., MA, USA
Abstract :
Three sets of directional observations with different sampling patterns and a geometric-optical model of forest BRDF are used to test the authors´ algorithm for physical BRDF model inversion. The results show that stochastic programming is the right mathematical tool for multiangular remote sensing. The experiments also indicated areas for further improvements of the algorithm and the BRDF model
Keywords :
forestry; geophysical techniques; inverse problems; remote sensing; BRDF; algorithm; bidirectional reflectance distribution function; directional observations; forest; forestry; geometric-optical model; geophysical measurement technique; knowledge-based inversion; light reflection; multiangular remote sensing; optical imaging; physical BRDF model; remote sensing; sampling pattern; stochastic programming; vegetation mapping; Azimuth; Data mining; Land surface; Mathematical programming; Predictive models; Reflectivity; Remote sensing; Sampling methods; Testing; Uncertainty;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
Conference_Location :
Lincoln, NE
Print_ISBN :
0-7803-3068-4
DOI :
10.1109/IGARSS.1996.516926
