Abstract:In the present paper, a new method was discussed, which used outlier detection algorithms of spectral analytical technology to tell the small target from background.First, continuum removal and standard normal variate were employed to pretreat the AVIRIS remotely- sensed data.It could be regarded that continuum is the absorption of background, and the characteristic absorptions are superposed on the continuum.So the continuum removal is frequently applied to remotely-sensed hyperspectral data to eliminate the contribution of background absorption and separate the characteristic absorption of concerned objects from background.SNV corrects each spectrum by subtracting the mean and dividing by the standard deviation for that spectrum.After the pretreatment, spectral angle mapping was used to reduce the dimension of hyperspectral data.Since this mapping process calculated the similarity between the spectra of each pixel and the average spectrum, no prior information such as standard spectrum library is required.And then, Mahalanobis distances were calculated.As Mahalanobis distance shows the extent to which samples deviate from the total population, the points whose Mahalanobis distance are larger than adaptive threshold were regarded as small target.The adaptive threshold was determined by data mean value and maximum value.Applying the algorithm above to a set of AVIRIS remotely-sensed hyperspectral data which was free downloaded from the NASA official website, small target on the concerned area was picked out correctly. In addition, the above mentioned took about 1/8 time as much as the traditional Mahalanobis distance method without prior reducing dimension of hyperspectral data.Compared with traditional algorithm, no prior information is needed, and less calculating work and time is required.Still, it has got a satisfying accuracy.
李庆波,李响,张广军*. 一种基于光谱奇异值检测的高光谱遥感小目标探测方法[J]. 光谱学与光谱分析, 2008, 28(08): 1832-1836.
LI Qing-bo,LI Xiang,ZHANG Guang-jun*. A Hyperspectral Small Target Detection Method Based on Outlier Detection. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2008, 28(08): 1832-1836.
[1] Shaw G, Manolakis D.IEEE Signal Processing Magazine, 2002, 19(1):12. [2] PU Rui-liang, GONG Peng(浦瑞良,宫 鹏).Hyperspectral Remote Sensing and Its Applications(高光谱遥感及其应用).Beijing:Higher Education Press(北京:高等教育出版社), 2000.1. [3] YANG Ke-ming, GUO Da-zhi, CHEN Yun-hao(杨可明,郭达志,陈云浩).Computer Engineering and Applications(计算机工程与应用), 2006, 42(31):213. [4] XU Da-qi, NI Guo-qiang, SHEN Yuan-ting, et al(徐大琦,倪国强,沈渊婷,等).Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2007, 27(3):521. [5] Hazel G G.IEEE Transaction on Geoscience and Remote Sensing,2000, 38(3):1199. [6] Chiang S-S, Chang C-I, Ginsberg I W.IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(7):1380. [7] GU Yan-feng, LIU Ying, JIA You-hua, et al(谷延锋,刘 颖,贾友华,等).Journal of Infrared and Millimeter Waves(红外与毫米波学报), 2006, 25(6):473. [8] LI Zhi-yong, KUANG Gang-yao, YU Wen-xian, et al(李智勇,匡纲要,郁文贤,等).Journal of Infrared and Millimeter Waves(红外与毫米波学报), 2004, 23(4):286. [9] Raymond F K, Roger N C.Remote Sensing of Environment, 1999, 67(3):267. [10] Marleen F N, Andrew K S, Freek D,et al.Remote Sensing of Environment, 2006, 105(3):262. [11] Zhi Huang, Brian J Turnera, Stephen J Dury,et al.Remote Sensing of Environment, 2004, 93(1):18. [12] ZHANG Jin-heng(张金恒).Acta Phytoecologica Sinica(植物生态学报), 2006, 30(1):78. [13] Brian L B, David P L, Jiaguo Q.Remote Sensing of Environment, 2007, 108(1), 111. [14] LIANG Ji,WANG Jian,WANG Jian-hua(梁 继,王 建,王建华).Remote Sensing Technology and Application(遥感技术与应用), 2002, 17(6):299. [15] TANG Hong, DU Pei-jun,FANG Tao, et al(唐 宏,杜培军,方 涛,等).Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2005, 25(8):1180. [16] DU Pei-jun, CHEN Yun-hao, FANG Tao, et al(杜培军,陈云浩, 方 涛,等).Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2005, 25(8):1171. [17] Prasun D, Shubhabrata D.Computational Materials Science, 2007, 38(4):671. [18] LI Yu-rong,XIANG Guo-bo(李玉榕,项国波).Computer Simulation(计算机仿真), 2006, 23(8):86. [19] LIU Rong, CHEN Wen-liang, XU Ke-xin, et al(刘 蓉,陈文亮,徐可欣,等).Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2005, 25(2) :207. [20] Xiaoli Y, Lawrence E H, Irving S R.IEEE Transactions on Image Processing, 1997, 6(1):143. [21] LI Xiang, LI Qing-bo, XU Yi-zhuang, et al(李 响,李庆波, 徐怡庄,等).Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2007, 27(3) :439. [22] Guo Q, Wu W, Massart D L.Analytica Chimica Acta, 1999, 382:87. [23] LI Qing-bo, YANG Li-min, LING Xiao-feng, et al(李庆波,杨丽敏,凌晓锋,等).Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2004, 24(4):414. [24] CHU Xiao-li, YUAN Hong-fu, LU Wan-zhen(褚小立,袁洪福,陆婉珍).Progress in Chemistry(化学进展), 2004, 16(4):528.