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.

Volume

6

fYear

2004

fDate

20-24 Sept. 2004

Firstpage

3949

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International

Conference_Location

Anchorage, AK

Print_ISBN

0-7803-8742-2

Type

conf

DOI

10.1109/IGARSS.2004.1369991

Filename

1369991