Acta Optica Sinica, Volume. 37, Issue 2, 230002(2017)
Novel Fast Real-Time Target Detection and Classification Algorithms for Hyperspectral Imagery
[1] [1] Tang Yi, Wan Jianwei, Nian Yongjian. Distributed near lossless compression of hyperspectral images[J]. Acta Optica Sinica, 2015, 35(3): 0310001.
[2] [2] Chen S Y, Wang Y, Wu C C, et al. Real-time causal processing of anomaly detection for hyperspectral imagery[J]. IEEE Transactions on Aerospace and Electronic Systems, 2014, 50(2): 1511-1534.
[3] [3] Zhao C, Wang Y, Qi B, et al. Global and local real-time anomaly detectors for hyperspectral remote sensing imagery[J]. Remote Sensing, 2015, 7(4): 3966-3985.
[4] [4] Zhao Chunhui, You Wei, Qi Bin, et al. Real-time anomaly detection algorithm for hyperspectral remote sensing by using recursive polynomial kernel function[J]. Acta Optica Sinica, 2016, 36(2): 0228002.
[5] [5] Wang Y, Schultz R, Chen S, et al. Progressive constrained energy minimization for subpixel detection[C]. Proceedings of SPIE, 2013, 8743: 874321.
[6] [6] Yang B, Yang M, Gao L, et al. A dual mode FPGA implementation of real-time target detection for hyperspectral imagery[C]. 2014 Third International Workshop on Earth Observation and Remote Sensing Applications, IEEE, 2014: 340-344.
[8] [8] Chang C I, Ren H. Linearly constrained minimum variance beamforming approach to target detection and classification for hyperspectral imagery[C]. IEEE 1999 International Geoscience and Remote Sensing Symposium, 1999, 2(6): 1241-1243.
[9] [9] Ye Jianjie. Application of an improved LCMV algorithm in GPS anti-jamming[J]. Electronic Science and Technology, 2013, 26(2): 156-158.
[10] [10] Chang C I, Ren H, Chiang S S. Real-time processing algorithms for target detection and classification in hyperspectral imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(4): 760-768.
[11] [11] Song Y, Liu C H, Deng Q. Linearly constrained minimum variance-based real-time hyperspectral image target detection algorithm[J]. Sensor Letters, 2014, 12(3): 509-515.
[12] [12] Frost O L. An algorithm for linearly constrained adaptive array processing[J]. Proceedings of the IEEE, 1972, 60(8): 926-935.
[13] [13] Wang J, Chang C I. Applications of independent component analysis in endmember extraction and abundance quantification for hyperspectral imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44(9): 2601-2616.
[14] [14] Chang Y C, Ren H, Chang C I, et al. How to design synthetic images to validate and evaluate hyperspectral imaging algorithms[C]. Proceedings of the SPIE, 2008, 6966: 69661P.
[15] [15] Chang C I. Multiparameter receiver operating characteristic analysis for signal detection and classification[J]. IEEE Sensors Journal, 2010, 10(3): 423-442.
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Fu Liting, Deng He, Liu Chunhong. Novel Fast Real-Time Target Detection and Classification Algorithms for Hyperspectral Imagery[J]. Acta Optica Sinica, 2017, 37(2): 230002
Category: Spectroscopy
Received: Aug. 22, 2016
Accepted: --
Published Online: Feb. 13, 2017
The Author Email: Liting Fu (302691392@qq.com)