Title :
Component temperatures inversion for remote sensing pixel
Author :
Jindi, Wang ; Xiaowen, Li ; Xiaomin, Sun ; Qiang, Liu
Author_Institution :
Res. Center for Remote Sensing, Beijing Normal Univ., China
Abstract :
A simple directional thermal infrared model is presented, and its inversion is discussed in detail. The information contents in data space and parameter space are defined, and the process of information transfer in inversion is studied. Based on this study, the authors made improvement to the cost function. The forward model and inversion method are validated with indoor directional measurement data. The results show that the model fits the measurement data very well, and their study on the information transfer in inversion is helpful to use the information of given observations in a more effective way
Keywords :
geophysical signal processing; geophysical techniques; inverse problems; remote sensing; terrain mapping; IR imaging; component temperatures inversion; cost function; data space; directional thermal infrared model; forward model; geophysical measurement technique; information content; information transfer; inversion method; land surface; parameter space; remote sensing; remote sensing pixel; terrain mapping; thermal imaging; Information retrieval; Isothermal processes; Land surface; Land surface temperature; Remote sensing; Structural engineering; Surface treatment; Surface waves; Temperature dependence; Temperature sensors;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-6359-0
DOI :
10.1109/IGARSS.2000.861687
