Title :
Study on data models of image quality assessment for the Chinese-Brazil Earth Resources Satellite
Author :
Miao-fen, HUANG ; Su-Hong, Liu ; Li, Li ; Qi-Jiang, Zhu
Author_Institution :
Res. Center for Remote Sensing & GIS, Beijing Normal Univ.
Abstract :
Analysis on Image Characteristic is a key step to understand and make good use of remote sensing image. Data models were employed to analyze for image quality of the Chinese-Brazil Earth Resources Satellite (CBERS-2) and LANDSAT/TM in Li-jiang region, Yunnan province. They include normalized model, univariate image statistics model, the ratio of inner and mutual variance model and spatial resolution model. The normalized model can be used to convert data into same physical quantity in order to make data be comparability. The other models can be used to open out the classified capability and information of data in supervised classification. With the study on data model, a method to analyze and assess remote sensing data was tried to bring forward
Keywords :
artificial satellites; data models; geophysical signal processing; geophysical techniques; image classification; image resolution; remote sensing; CBERS-2; China; Chinese-Brazil Earth Resources Satellite; LANDSAT/TM; Li-jiang region; Yunnan; data analysis; data models; image quality assessment; remote sensing; spatial resolution model; supervised classification; univariate image statistics model; Data models; Earth; Image analysis; Image converters; Image quality; Reflectivity; Remote sensing; Satellites; Snow; Spatial resolution;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1369991