[1] |
郑玉权, 王慧, 王一凡.星载高光谱成像仪光学系统的选择与设计[J].光学 精密工程, 2009, 17(11):2630-2631.http://kns.cnki.net/KCMS/detail/detail.aspx?filename=gxjm200911004&dbname=CJFD&dbcode=CJFQZHENG Y Q, WANG H, WANG Y F. Selection and design of optical systems for spaceborne hyperspectral imagers[J]. Opt. Precision Eng., 2009, 17(11):2630-2631.(in Chinese)http://kns.cnki.net/KCMS/detail/detail.aspx?filename=gxjm200911004&dbname=CJFD&dbcode=CJFQ
|
[2] |
LABAW C. Airborne imaging spectrometer:an advanced concept instrument[J]. SPIE, 1983, 430:68-73.http://adsabs.harvard.edu/abs/1983SPIE..430...68L
|
[3] |
GREEN R O, EASTWOOD M L, SARTURE C M, et al.. Imaging spectroscopy and the airborne visible/infrared imaging spectrometer(AVIRIS)[J]. Remote Sensing of Environment, 1998, 65(3):227-248.doi:10.1016/S0034-4257(98)00064-9
|
[4] |
李越强, 李庶中, 贾宇.光谱成像技术在海上目标探测识别中的应用探讨[J].光学与光电技术, 2015, 13(1):79-86.http://kns.cnki.net/KCMS/detail/detail.aspx?filename=gxgd201501020&dbname=CJFD&dbcode=CJFQLI Y Q, LI S Z, JIA Y. Application of spectral imaging technology in detection and recognition of marine targets[J]. Optics & Optoelectronic Technology, 2015, 13(1):79-86.(in Chinese)http://kns.cnki.net/KCMS/detail/detail.aspx?filename=gxgd201501020&dbname=CJFD&dbcode=CJFQ
|
[5] |
张达, 郑玉权.高光谱遥感的发展与应用[J].光学与光电技术, 2013, 11(3):67-73.http://kns.cnki.net/KCMS/detail/detail.aspx?filename=gxgd201303017&dbname=CJFD&dbcode=CJFQZHANG D, ZHENG Y Q. Hyperspectral remote sensing and its development and application review[J]. Optics & Optoelectronic Technology, 2013, 11(3):67-73.(in Chinese)http://kns.cnki.net/KCMS/detail/detail.aspx?filename=gxgd201303017&dbname=CJFD&dbcode=CJFQ
|
[6] |
高国龙.高光谱成像仪寻求军事用途[J].红外, 2004, 4:48.http://kns.cnki.net/KCMS/detail/detail.aspx?filename=hwai200404015&dbname=CJFD&dbcode=CJFQGAO G L. Hyperspectral imager for military use[J]. Infrared, 2004, 4:48.(in Chinese)http://kns.cnki.net/KCMS/detail/detail.aspx?filename=hwai200404015&dbname=CJFD&dbcode=CJFQ
|
[7] |
BORK E W, SU J G. Integrating LIDAR data and multispectral imagery for enhanced classification of rangeland vegetation:a meta analysis[J]. Remote Sensing of Environment, 2007, 111(1):11-24.doi:10.1016/j.rse.2007.03.011
|
[8] |
麻永平, 张炜, 刘东旭.高光谱侦察技术特点及其对地面军事目标威胁分析[J].上海航天, 2012, 29(1):37-40.http://kns.cnki.net/KCMS/detail/detail.aspx?filename=shht201201009&dbname=CJFD&dbcode=CJFQMA Y P, ZHANG W, LIU X D. Characteristics of hyperspectral reconnaissance and threat to ground military targets[J]. Aerospace Shanghai, 2012, 29(1):37-40.(in Chinese)http://kns.cnki.net/KCMS/detail/detail.aspx?filename=shht201201009&dbname=CJFD&dbcode=CJFQ
|
[9] |
曹佃生, 石振华, 林冠宇.机载海洋改进型Dyson高光谱成像仪的研制[J].光学 精密工程, 2017, 25(6):1404-1405.http://kns.cnki.net/KCMS/detail/detail.aspx?filename=gxjm201706001&dbname=CJFD&dbcode=CJFQCAO D SH, SHI ZH H, LIN G Y. Development of airborne ocean modified Dyson hyperspectral imager[J]. Opt. Precision Eng., 2017, 25(6):1404-1405.(in Chinese)http://kns.cnki.net/KCMS/detail/detail.aspx?filename=gxjm201706001&dbname=CJFD&dbcode=CJFQ
|
[10] |
HUANG Z W, SHI Z W, QIN Z. Convex relaxation based sparse algorithm for hyperspectral target detection[J]. Optik, 2013, 124(24):6594-6598.doi:10.1016/j.ijleo.2013.05.091
|
[11] |
杜山山, 李姝颖, 曾朝阳.背景不确定性对高光谱异常目标探测的影响[J].解放军理工大学学报(自然科学版), 2016, 17(6):598-604.http://www.cqvip.com/QK/90576X/201606/670888405.htmlDU SH SH, LI SH Y, ZENG CH Y. Influence of background uncertain target detection[J]. J. PLA University of Science and Technology Natural Science Edition, 2016, 17(6):598-604.(in Chinese)http://www.cqvip.com/QK/90576X/201606/670888405.html
|
[12] |
赵志勇, 吕绪良, 刘凯龙, 等.基于高光谱的目标探测方法分析[J].光电技术应用, 2010, 25(3):3-5.http://kns.cnki.net/KCMS/detail/detail.aspx?filename=gdyg201003004&dbname=CJFD&dbcode=CJFQZHAO ZH Y, LV X L, LIU K L, et al.. Analysis of target detecting methods based on hyper-spectrum[J]. Electro-optic Technology Application, 2010, 25(3):3-5.(in Chinese)http://kns.cnki.net/KCMS/detail/detail.aspx?filename=gdyg201003004&dbname=CJFD&dbcode=CJFQ
|
[13] |
KWON H, NASRABADI N M. Kernel RX-algorithm:A nonlinear anomaly detector for hyperspectral imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2005, 43(2):388-397.doi:10.1109/TGRS.2004.841487
|
[14] |
MOLERO J M, GARZON E M, GARCIA I, et al.. Analysis and optimizations of global and local versions of the RX algorithm for anomaly detection in hyperspectral data[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6(2):801-814.doi:10.1109/JSTARS.2013.2238609
|
[15] |
ROSSI A, ACITO N, DIANI M, et al.. RX architectures for real-time anomaly detection in hyperspectral images[J]. J. Real-Time Image Processing, 2014, 9(3):503-517.doi:10.1007/s11554-012-0292-3
|
[16] |
GUO W J, ZENG X R, ZHAO B W, et al.. Multi-DSP parallel processing technique of hyperspectral RX anomaly detection[J]. Spectroscopy and Spectral Analysis, 2014, 34(5):1383-1387.http://www.ncbi.nlm.nih.gov/pubmed/25095443
|
[17] |
KHAZAI S, MOJARADI B. A modified kernel-RX algorithm for anomaly detection in hyperspectral images[J]. Arabian Journal of Geosciences, 2015, 8(3):1487-1495.doi:10.1007/s12517-013-1218-5
|
[18] |
杜小平, 刘明, 夏鲁瑞, 等.基于光谱角累加的高光谱图像异常检测算法[J].中国光学, 2013, 6(3):327-328.//www.illord.com/CN/abstract/abstract8941.shtmlDU X P, LIU M, XIA L R, et al.. Anomaly detection algorithm for hyperspectral imagery based on summation of spectral angles[J]. Chinese Optics, 2013, 6(3):327-328.(in Chinese)//www.illord.com/CN/abstract/abstract8941.shtml
|
[19] |
KHAZAI S, HOMAYOUNI S, SAFARI A, et al.. Anomaly detection in hyperspectral images based on an adaptive support vector method[J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(4):646-650.doi:10.1109/LGRS.2010.2098842
|
[20] |
ZHANG L F, ZHANG L P, TAO D C, et al.. Hyperspectral remote sensing image subpixel target detection based on supervised metric learning[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(8):4955-4965.doi:10.1109/TGRS.2013.2286195
|
[21] |
ZHANG B, YANG W, GAO L R, et al.. Real-time target detection in hyperspectral images based on spatial-spectral information extraction[J]. Eurasip Journal on Advances in Signal Processing, 2012, 142.doi:10.1186/1687-6180-2012-142
|
[22] |
徐芳, 刘晶红, 曾冬冬, 等.基于视觉显著性的无监督海面舰船检测与识别[J].光学 精密工程, 2017, 25(5):1300-1310.http://kns.cnki.net/KCMS/detail/detail.aspx?filename=gxjm201705023&dbname=CJFD&dbcode=CJFQXU F, LIU J H, ZENG D D, et al.. Detection and identification of unsupervised ships and warships on sea surface based on visual saliency[J]. Opt. Precision Eng., 2017, 25(5):1300-1310.(in Chinese)http://kns.cnki.net/KCMS/detail/detail.aspx?filename=gxjm201705023&dbname=CJFD&dbcode=CJFQ
|
[23] |
CHEIN I C, SHAO-SHAN C. Anomaly detection and classification for hyperspectral imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2002, 40(6):1314-1325.doi:10.1109/TGRS.2002.800280
|
[24] |
ZHAO R, DU B, ZHANG L P. A robust nonlinear hyperspectral anomaly detection approach[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(4):1227-1234.doi:10.1109/JSTARS.4609443
|
[25] |
张旭升, 郭亮, 胡日查, 等.红外探测中潜艇冷热尾流的传热传质特性[J].光学 精密工程, 2017, 25(1):107-114.http://www.eope.net/EN/Y2017/V25/I1/107ZHANG X SH, GUO L, HU R CH, et al.. Heat and mass transfer characteristic of submarine cold-thermal wake in the infrared detection[J]. Opt. Precision Eng., 2017, 25(1):107-114.(in Chinese)http://www.eope.net/EN/Y2017/V25/I1/107
|
[26] |
DU B, ZHANG L P. Random-selection-based anomaly detector for hyperspectral imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(5):1578-1589.doi:10.1109/TGRS.2010.2081677
|
[27] |
HUANG Z W, SHI Z W, QIN Z. Convex relaxation based sparse algorithm for hyperspectral target detection[J]. Optik, 2013, 124(24):6594-6598.doi:10.1016/j.ijleo.2013.05.091
|