objects, the decorrelation stretch and rpincipal component methods are used for processing 
the high correlated images between bands. The following table is reflected the high 
correlation status in average of the theraml infrared multispectral images of MAIS system. 
Thermal band 
of MAIS 
1 
2 
3 
4 
5 
6 
7 
2 
3 
4 
5 
6 
7 
0. 93 
0. 99 
0. 95 
0. 97 
0. 91 
0. 83 
1 
0. 92 
0. 99 
0. 86 
0. 94 
0. 71 
1 
0. 93 
0. 98 
0. 90 
0. 84 
1 
0. 89 
0. 94 
0. 74 
1 
0. 86 
0. 89 
1 
0. 79 
1 
By analysis of the thermal infrared images the differrent rocks 
province, North China are distinctively discriminated. Some fault 
BY using thermal spectral features of the gold mineralized zone 
zones related to gold mineralization have been found. Meanwhile 
the gold mineralization in this region is controlled by the NNE 
in the Jinchangyu Region Hebei 
system are also much enhanced, 
in this area, two anomalous 
the thermal images shoes that 
fault system. 
The unique image (Fig4-7) of the Darwin city Northern Territory Australia shows the radiance 
temperature distribution of the buildings .The red spots in the image are the cold objects. 
Which reflect the cooling effect caused by the excessive air conditioning in the thermal 
region have the potential application for detecting the energy waste of the cities. 
Acknowledgements:The research is partially founded by the National Scitific Fundation of China. 
For this paper contribution of the High Spectral Resolution Remote Sensing has been made by 
Professor Xue Yongqi, Dr. Wang Jianyu, Professor Zheng Lanfen, Mr. Wang Jinnian an Mr. Hou Hongfei. 
Some paragraph of spectral signature study are contributed by Ms. Li Yan. The contribution of 
microwave remote sensing was made by Dr. Wang Chao and Dr. Sun Liguo. 
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