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HTD-Net: A Deep Convolutional Neural Network for Target Detection in Hyperspectral Imagery.

, , , , , and . Remote. Sens., 12 (9): 1489 (2020)

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Weighted-RXD and Linear Filter-Based RXD: Improving Background Statistics Estimation for Anomaly Detection in Hyperspectral Imagery., , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 7 (6): 2351-2366 (2014)Collaborative Classification for Woodland Data Using Similar Multi-concentrated Network., , , , and . PRCV (2), volume 12306 of Lecture Notes in Computer Science, page 95-101. Springer, (2020)HTD-Net: A Deep Convolutional Neural Network for Target Detection in Hyperspectral Imagery., , , , , and . Remote. Sens., 12 (9): 1489 (2020)PSO-EM: A Hyperspectral Unmixing Algorithm Based On Normal Compositional Model., , , , , and . IEEE Trans. Geosci. Remote. Sens., 52 (12): 7782-7792 (2014)Image pan-sharpening using enhancement based approaches in remote sensing., , and . Multim. Tools Appl., 79 (43-44): 32791-32805 (2020)Anomaly Detection for Hyperspectral Images Based on Improved Low-Rank and Sparse Representation and Joint Gaussian Mixture Distribution., , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)Structural stability of silicene-like nanotubes., , and . Comput. Phys. Commun., 183 (1): 30-33 (2012)Feature Extraction for Change Detections Combining The Local Contain Profile and The Sparse Representation Classifier., and . CISP-BMEI, page 127-132. IEEE, (2020)Decision Fusion Based on Joint Low Rank and Sparse Component for Hyperspectral Image Classification., , , and . IGARSS, page 401-404. IEEE, (2019)Multisource Remote Sensing Data Classification Based on Convolutional Neural Network., , , , , and . IEEE Trans. Geosci. Remote. Sens., 56 (2): 937-949 (2018)