Back to Search
Start Over
Texture Analysis and its Application for Single-Band SAR Thematic Information Extraction
- Source :
- IGARSS (2)
- Publication Year :
- 2008
- Publisher :
- IEEE, 2008.
-
Abstract
- In this paper single-band and single-polarization Radarsat-1 SAR image is used to evaluate image classification with textural analysis. Firstly, the statistic information of sample were analyzed using semivariogram to determine the optimum parameters for textural extraction; Then four textures such as Homogeneity, Mean, Angle Second Moment and Entropy had been calculated based on GLCM, and the image data were processed using Support Vector Machine classification. The results show that the water and settlement areas are extracted accurately with accuracy 99.34% and 82.54%, and the SVM method has better extension ability for SAR image classification; Assisting with textural information, the image classification based on SVM has a obvious enhancement to original SAR, especially for some complex objects such as settlement areas(about increasing accuracy 18%).
- Subjects :
- Synthetic aperture radar
Contextual image classification
Pixel
business.industry
Computer science
Feature extraction
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Pattern recognition
computer.software_genre
Support vector machine
Information extraction
Statistical classification
ComputingMethodologies_PATTERNRECOGNITION
Image texture
Computer vision
Artificial intelligence
business
Variogram
computer
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium
- Accession number :
- edsair.doi...........4899628428444f04c918e768157c8d4d