Spatial–spectral segmentation of hyperspectral images for subpixel target detection
Author:
Affiliation:
1. Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Rochester, New Yor
2. Rochester Institute of Technology, Department of Electrical and Microelectronic Engineering, Rochest
Publisher
SPIE-Intl Soc Optical Eng
Subject
General Earth and Planetary Sciences
Reference71 articles.
1. Subpixel target detection in hyperspectral images from superpixel background statistics
2. Subpixel target detection in hyperspectral images with local matched filtering in SILC superpixels;Liang,2016
3. Detection Algorithms in Hyperspectral Imaging Systems: An Overview of Practical Algorithms
4. Hyperspectral Target Detection : An Overview of Current and Future Challenges
5. Hyperspectral image processing for automatic target detection applications;Manolakis,2003
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2. Hyperspectral Target Detection With RoI Feature Transformation and Multiscale Spectral Attention;IEEE Transactions on Geoscience and Remote Sensing;2021-06
3. More accurate less meaningful? A critical physical geographer’s reflection on interpreting remote sensing land-use analyses;Progress in Physical Geography: Earth and Environment;2021-02-18
4. Hyperspectral image segmentation using 3D regularized subspace clustering model;Journal of Applied Remote Sensing;2021-01-28
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