Title | ||
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Study On Data Models Of Image Quality Assessment For The Chinese-Brazil Earth Resources Satellite |
Abstract | ||
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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. |
Year | DOI | Venue |
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2004 | 10.1109/IGARSS.2004.1369991 | IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET |
Keywords | Field | DocType |
CBERS-2, TM, data model, data analysis | Data modeling,Satellite,Normalization (statistics),Computer science,Remote sensing,Image quality,Contextual image classification,Univariate,Data model,Image resolution | Conference |
ISSN | Citations | PageRank |
2153-6996 | 0 | 0.34 |
References | Authors | |
0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Miao-fen Huang | 1 | 0 | 3.72 |
Su-Hong Liu | 2 | 79 | 20.10 |
Li Li | 3 | 0 | 0.34 |
Qijiang Zhu | 4 | 11 | 11.80 |