DocumentCode
2116533
Title
A priori knowledge in the inversion of linear kernel-driven BRDF models
Author
Yan, Guangjian ; Wang, Jindi ; Li, Xiaowen
Author_Institution
Dept. of Geogr., Beijing Normal Univ., China
Volume
3
fYear
2002
fDate
24-28 June 2002
Firstpage
1633
Abstract
A priori knowledge can come from field measurements of bidirectional reflectance factors for various surface cover types. How to express and use this kind of knowledge is very important currently. 73 sets of field observations are used to explore the possible expression of a priori knowledge in linear kernel-driven BRDF models in this paper.
Keywords
geophysical techniques; remote sensing; terrain mapping; vegetation mapping; BRDF; IR; a priori knowledge; bi-directional reflectance distribution function; geophysical measurement technique; infrared; inverse problem; inversion; land surface; light scattering; linear kernel-driven BRDF model; optical method; remote sensing; surface cover type; terrain mapping; visible; Bidirectional control; Cities and towns; Geographic Information Systems; Geography; Kernel; Land surface; MODIS; Optical scattering; Remote sensing; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN
0-7803-7536-X
Type
conf
DOI
10.1109/IGARSS.2002.1026204
Filename
1026204
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