Level Set Hyperspectral Segmentation: Near-Optimal Speed Functions using Best Band Analysis and Scaled Spectral Angle Mapper.
Feb 5, 2015 · This paper presents a semi-automated supervised level set hyperspectral image segmentation algorithm. The proposed method uses near-optimal ...
A semi-automated supervised level set hyperspectral image segmentation algorithm that uses near-optimal speed functions that are composed of a spectral ...
Abstract—This paper presents a semi-automated supervised level set hyperspectral image segmentation algorithm. The proposed method uses near-optimal speed ...
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Abstract—We present a supervised hyperspectral classification procedure consisting of an initial distance-based segmentation method that uses best band ...
The main contribution of this paper is a new best bands-based speed function for segmenting hyperspectral imagery using the level set methodology with improved ...
[2] J. E. Ball and L.M. Bruce, Level Set Hyperspectral Segmentation: Near-Optimal Speed Functions using Best Band Analysis and Scaled Spectral Angle Mapper, in
Level Set Hyperspectral Segmentation: Near-Optimal Speed Functions using Best Band Analysis and Scaled Spectral Angle Mapper · John E Ball. 2006, 2006 IEEE ...
Abstract—We present a semi-automated supervised hyper- spectral image segmentation algorithm based on the level set methodology. In the proposed procedure, ...
Missing: Optimal Scaled Angle
This study proposed a robust and repeatable approach for the selection of optimal segmentation scale parameters in high-resolution hyperspectral images. We ...
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