Fuzzy Comprehensive Evaluation Method and Its Application in Subjective Quality Assessment for Compressed Remote Sensing Images

Author

Zhai, Liang ; Tang, Xinming

Author_Institution

Chinese Acad. of Surveying & Mapping, Beijing

Volume

1

fYear

2007

fDate

24-27 Aug. 2007

Firstpage

145

Lastpage

148

Abstract

Subjective assessment methods for compressed remote sensing images and their classification are introduced. A fuzzy comprehensive evaluation method is studied and applied in assessment for reconstructed remote sensing images which are compressed by JPEG2000 standard and improved SPIHT algorithm developed by Chinese astronautic scientists. Fuzzy comprehensive evaluation method is proved to be reliable through conducting a series of experiments and some useful conclusions are obtained.

Keywords

data compression; fuzzy set theory; geophysical signal processing; image classification; image coding; image reconstruction; remote sensing; Chinese astronautic scientists; JPEG2000 standard; SPIHT algorithm; compressed remote sensing images; fuzzy comprehensive evaluation method; image classification; image reconstruction; subjective quality assessment; Image coding; Image quality; Image reconstruction; Quality assessment; Remote sensing; Satellites; Signal resolution; Signal to noise ratio; Standards development; Transform coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on

Conference_Location

Haikou

Print_ISBN

978-0-7695-2874-8

Type

conf

DOI

10.1109/FSKD.2007.321

Filename

4405906