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SCENE CLASSFICATION BASED ON THE SEMANTIC-FEATURE FUSION FULLY SPARSE TOPIC MODEL FOR HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGERY
Scene classification Fully sparse topic model Semantic-feature Fusion Limited training samples High spatial resolution
2016/11/23
Topic modeling has been an increasingly mature method to bridge the semantic gap between the low-level features and high-level semantic information. However, with more and more high spatial resolution...
The effect of partial semantic feature match in forward prediction and backward retrieval
forward prediction backward retrieval
2015/9/7
The effect of partial semantic feature match in forward prediction and backward retrieval.
SEMANTIC FEATURE BASED REGISTRATION OF TERRESTRIAL POINT CLOUDS
Registration Terrestrial laser scanning Feature extraction
2016/2/29
As an active remote sensing technique, Terrestrial Laser Scanning (TLS) is popular for constructing detailed 3D models of complex
objects. To create a complete 3D scene, TLS point clouds scanned fro...