Image Segmentation Using Binary Tree Structured Markov Random Fields
Synthetic Aperture Radar (SAR) systems are important active sensors for Earth observation systems. They enable continuous monitoring of the targets (e.g., sea ice, agricultural areas, ships, etc.) through clouds and independent of solar illumination. Space-borne polarimetric SAR missions which are p...
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Format: | Text |
Language: | English |
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2004
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Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.136.141 http://www.cs.ubc.ca/~murphyk/Teaching/CS532c_Fall04/Projects/erashin.pdf |
Summary: | Synthetic Aperture Radar (SAR) systems are important active sensors for Earth observation systems. They enable continuous monitoring of the targets (e.g., sea ice, agricultural areas, ships, etc.) through clouds and independent of solar illumination. Space-borne polarimetric SAR missions which are planned for the near future draw our attention to the crucial task of information extraction from such data. The |
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