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Segmentation of radar imagery using Gaussian Markov random field models and wavelet transform techniques
- Source :
- IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development.
- Publication Year :
- 2002
- Publisher :
- IEEE, 2002.
-
Abstract
- This paper presents segmentation of radar imagery by two steps: 1. Initial segmentation using wavelet transform techniques and the watershed method; 2. Segment merging using the Gaussian Markov random field models. The method can be applied to both single-channel and multi-channel images.
- Subjects :
- Synthetic aperture radar
Watershed
business.industry
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Scale-space segmentation
Wavelet transform
Markov process
Pattern recognition
Image processing
Image segmentation
symbols.namesake
Gaussian noise
Computer Science::Computer Vision and Pattern Recognition
Radar imaging
symbols
Segmentation
Computer vision
Artificial intelligence
business
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development
- Accession number :
- edsair.doi...........3220d64c389d332651f1f905c06bc513