Share Email Print
cover

Proceedings Paper

Analysis of the effects of compression on extraction of features from images
Author(s): Wang Yu; Yang Xiuce; Yin Ming; Wei Kai
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Line features are very important in photogrammetry, and compression often causes a loss of line features in images. In order to study the effects of compression on feature extraction, a SPOT5 image was selected as test data and the image was compressed with seven compression ratios. Features of the original and compressed images were extracted with the Canny operator. A change detection method was used to compare the features of the original and compressed images. The results show that the features extracted vary with the compression ratio, and the change ratio for those features increases with increasing compression ratio.

Paper Details

Date Published: 24 August 2010
PDF: 6 pages
Proc. SPIE 7810, Satellite Data Compression, Communications, and Processing VI, 781013 (24 August 2010); doi: 10.1117/12.860467
Show Author Affiliations
Wang Yu, Xi'an Research Institute of Surveying and Mapping (China)
Yang Xiuce, Xi'an Research Institute of Surveying and Mapping (China)
Yin Ming, Xi'an Research Institute of Surveying and Mapping (China)
Wei Kai, 69028 Troop (China)


Published in SPIE Proceedings Vol. 7810:
Satellite Data Compression, Communications, and Processing VI
Bormin Huang; Antonio J. Plaza; Joan Serra-Sagristà; Chulhee Lee; Yunsong Li; Shen-En Qian, Editor(s)

© SPIE. Terms of Use
Back to Top