DocumentCode
583992
Title
Classification features in phase components of mechanism vectors in PolInSAR optimization
Author
Shang, Fang ; Hirose, Akira
Author_Institution
Dept. of Electr. Eng. & Inf. Syst., Univ. of Tokyo, Tokyo, Japan
fYear
2012
fDate
Oct. 29 2012-Nov. 2 2012
Firstpage
114
Lastpage
117
Abstract
In our experiments, we tested the properties of both the amplitude and phase components of mechanism vectors. Then, we compared the results with coherence map of the optimized data. The result showed that as well as the amplitude components, the phase components of mechanism vectors can also be used for land classification. Moreover, the mechanism vectors have different classification features from coherence map. That is, the mechanism vectors are sensitive to low vegetation field while the coherence map is sensitive to the lake area. In addition, we supposed that the phase components of mechanism vectors can contain more land information than the amplitude components.
Keywords
pattern classification; radar interferometry; radar polarimetry; synthetic aperture radar; PolInSAR optimization; amplitude components; coherence map; lake area; land classification; land information; low vegetation field; mechanism vectors; phase component classification features; Coherence; Optimization; Support vector machine classification; Synthetic aperture radar; Vectors; Vegetation mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation (ISAP), 2012 International Symposium on
Conference_Location
Nagoys
Print_ISBN
978-1-4673-1001-7
Type
conf
Filename
6393864
Link To Document