Collaborative Segmentation And Classification For Remote Sensing Image Analysis
2016 23RD INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR)(2016)
摘要
In this article we present CoSC, a generic framework for collaborative segmentation and classification. The framework is guided by both radiometric homogeneity based criteria and implicit semantic criteria to segment and extract the objects of a given thematic class. We present a proof-of-concept case-study and show that CoSC is able to reach higher confidence for object classification and results in significant improvement of the whole segmentation.
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关键词
remote sensing image analysis,collaborative segmentation-and-classification,CoSC,radiometric homogeneity based criteria,object classification
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