光谱学与光谱分析 |
|
|
|
|
|
A Method of Object Detection for Remote Sensing Imagery Based on Spectral Space Transformation |
WU Gui-ping1, XIAO Peng-feng2, FENG Xue-zhi2, WANG Ke3 |
1. Nanjing Institute of Geography & Limnology, Chinese Academy of Sciences, Nanjing 210008, China 2. Department of Geographical Information Sciences, Nanjing University, Nanjing 210093, China 3. Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China |
|
|
Abstract Object detection is an intermediate link for remote sensing image processing, which is an important guarantee of remote sensing application and services aspects. In view of the characteristics of remotely sensed imagery in frequency domain, a novel object detection algorithm based on spectral space transformation was proposed in the present paper. Firstly, the Fourier transformation method was applied to transform the image in spatial domain into frequency domain. Secondly, the wedge-shaped sample and overlay analysis methods for frequency energy were used to decompose signal into different frequency spectrum zones, and the center frequency values of object’s features were acquired as detection marks in frequency domain. Finally, object information was detected with the matched Gabor filters which have direction and frequency selectivity. The results indicate that the proposed algorithm here performs better and it has good detection capability in specific direction as well.
|
Received: 2012-08-21
Accepted: 2012-10-29
|
|
Corresponding Authors:
WU Gui-ping
E-mail: gpwu@niglas.ac.cn
|
|
[1] 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. [2] LIU De-lian, ZHANG Jian-qi(刘德连, 张建奇). Journal of Infrared and Millimeter Waves(红外与毫米波学报), 2006, 25(3): 236. [3] Hunt B R, Cannon T M. IEEE Trans Syst, Man Cybernet, 1976, 6(6): 876. [4] Reed R, Yu X. IEEE Trans Acoust, Speech, Signal Process, 1990, 38(10): 293. [5] KUI Zhong-yu(夔中羽). Image Technology(影像技术), 1998, (1): 1. [6] WU Gui-ping, XIAO Peng-feng, FENG Xue-zhi, et al(吴桂平, 肖鹏峰, 冯学智, 等). Acta Geodaetica et Cartographica Sinica(测绘学报), 2011, 40(5): 587. [7] CHEN Shu-peng(陈述彭). Exploration and Research on Geo-Information Tupu(地学信息图谱探索研究). Beijing: The Commercial Press(北京: 商务印书馆), 2001. 3. [8] YAN Xue-qiang, LIU Ji-lin, GUO Xiao-jun, et al(严学强, 刘济林, 郭小军, 等). Journal of Zhejiang University·Natural Science(浙江大学学报·自然科学版), 1998, 32(6): 726. [9] TAN Yan-ying, DONG Zhi-xin(谭雁英, 董志信). Acta Electronica Sinica(电子学报), 1995, 23(9): 61. [10] Hosseini R. Textile Research Journal, 1995, 65(11): 676. [11] WU Xing, Bhanu B. IEEE Trans. Image Processing, 1997, 6(1): 47. [12] Jain A. New York: Prentice Hall, 1989. 112. [13] Kim D S, Lee S U. IEEE Transactions on Communications, 1991, 39(4): 549. [14] Shen L, Bai L. Pattern Analysis & Applications, 2006(9): 273. [15] Newland D E. Proceedings of the Royal Society of London A, 1993, 443(10): 203. [16] Dunn D, Higgins W E, Wakeley J. IEEE Transactions on PAMI, 1994, 16(2): 130. [17] Bharati M H, Liu J J, Macgrgor J F. Chemometrics and Intelligent Laboratory System, 2004, 72(11): 57. |
[1] |
WANG Cai-ling1,2, WANG Hong-wei3, HU Bing-liang1, WEN Jia4, XU Jun5,LI Xiang-juan2 . A New Spectral-Spatial Algorithm Method for Hyperspectral Image Target Detection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(04): 1163-1169. |
[2] |
LIU Kai1, ZHANG Li-fu1*, YANG Hang1, ZHU Hai-tao1, JIANG Hai-ling2, LI Yao1 . Hyperspectral Unstructured Background Target Detection Approach Based on Object-Oriented Analysis [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(06): 1653-1657. |
[3] |
CHEN Chao1, QIN Qi-ming1*, CHEN Li1, WANG Jin-liang1, LIU Ming-chao1, WEN Qi2 . Extraction of Bridge over Water from High-Resolution Remote Sensing Images Based on Spectral Characteristics of Ground Objects [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(03): 718-722. |
[4] |
ZHANG Bing1, SHA Jian-jun1,2, WANG Xiang-wei1, GAO Lian-ru1 . Impact Analysis of Atmospheric State for Target Detection in Hyperspectral Radiance Image [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32(08): 2043-2049. |
[5] |
FANG Jiang-xiong1, TU En-mei1, YANG Jie1, JIA Zhen-hong2, Nikola Kasabov3 . Narrow Band Multi-Region Level Set Method for Remote Sensing Image [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31(11): 3001-3005. |
[6] |
KUANG Hai-peng1, WANG De-jiang1,2, ZHOU Gang1. High Speed Transmission System for Dual-Spectral Remote Sensing System[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31(06): 1654-1657. |
[7] |
TAN Yu-min1,HUAI Jian-zhu1,TANG Zhong-shi2 . An Object-Oriented Remote Sensing Image Segmentation Approach Based on Edge Detection [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2010, 30(06): 1624-1627. |
[8] |
LIN Jian1,2,TAN Yong-hong2,YANG Yue-long2,PENG Shun-xi3,LIU Jian-xun1. A Spatial-Distance Analysis Approach of Multi-Spectrum Feature Distribution for Remote Sensing Image Land Use/Cover[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2009, 29(02): 436-440. |
[9] |
LI Qing-bo,NIE Xin,ZHANG Guang-jun*. A Hyperspectral Subpixel Target Detection Method Based on Inverse Least Squares Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2009, 29(01): 14-19. |
[10] |
DENG Wei,HE Xiong-kui*,ZHANG Lu-da,ZENG Ai-jun,SONG Jian-li,ZOU Jian-jun. Target Infrared Detection in Target Spray[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2008, 28(10): 2285-2289. |
[11] |
TAN Kun,DU Pei-jun. Hyperspectral Remote Sensing Image Classification Based on Radical Basis Function Neural Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2008, 28(09): 2009-2013. |
[12] |
LI Qing-bo,LI Xiang,ZHANG Guang-jun*. A Hyperspectral Small Target Detection Method Based on Outlier Detection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2008, 28(08): 1832-1836. |
|
|
|
|