Kernel-based regularized-angle spectral matching for target detection in hyperspectral imagery

Author:

Gu Yanfeng,Wang Chen,Wang Shizhe,Zhang Ye

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference19 articles.

1. The role of environmental context in mapping invasive plants with hyperspectral image data;Andrew;Remote Sens. Environ.,2008

2. Estimating and mapping crop residues cover on agricultural lands using hyperspectral and IKONOS data;Bannari;Remote Sens. Environ.,2006

3. Optimal field sampling for targeting minerals using hyperspectral data;Debba;Remote Sens. Environ.,2006

4. A selective KPCA algorithm based on high-order statistics for anomaly detection in hyperspectral imagery;Gu;IEEE Geosci. Remote Sens. Lett.,2008

5. Harsanyi, J.C., 1993. Detection and classification of subpixel spectral signatures in hyperspectral image sequences. Ph.D. dissertation, University of Maryland.

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2. Symmetric Information–Theoretic Metric Learning for Target Detection in Hyperspectral Imagery;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2022

3. Single-Spectrum-Driven Binary-Class Sparse Representation Target Detector for Hyperspectral Imagery;IEEE Transactions on Geoscience and Remote Sensing;2021-02

4. Asymmetric Weighted Logistic Metric Learning for Hyperspectral Target Detection;IEEE Transactions on Cybernetics;2021

5. Multitask Learning-Based Reliability Analysis for Hyperspectral Target Detection;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2019-07

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