DocumentCode
340449
Title
Assessment of speckle reduction filters for automatic detection of small/thin features [in SAR images]
Author
Sakurai-Amano, Takako ; Iisaka, Joji
Author_Institution
Earth Observation Res. Center, NASDA, Tokyo, Japan
Volume
2
fYear
1999
fDate
1999
Firstpage
1315
Abstract
Evaluates the effectiveness of several speckle reduction filters in extracting small/thin features in SAR images. The filters were tested on various types of bright and dark features in observed images instead of simulated images. The filters were required to preserve contrast between the feature and its immediate background, as well as reduce speckle in the image. Based on the results of the tests, the authors found that the Small Feature Preserving (SFP) filter was best for extracting bright features, and that the Sigma filter was best for extracting dark features
Keywords
feature extraction; filters; radar imaging; speckle; synthetic aperture radar; SAR images; SFP filter; Sigma filter; Small Feature Preserving filter; automatic detection; background contrast; bright features; dark features; observed images; small features extraction; speckle reduction filters; thin features extraction; Computer vision; Earth; Feature extraction; Filters; Lubricating oils; Petroleum; Rivers; Roads; Speckle; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
Conference_Location
Hamburg
Print_ISBN
0-7803-5207-6
Type
conf
DOI
10.1109/IGARSS.1999.774616
Filename
774616
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