DU Pei-jun1, 2, CHEN Yun-hao3*, FANG Tao2, TANG Hong2
1. Department of Spatial Informatics, China University of Mining and Technology, Xuzhou 221008, China 2. Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030, China 3. Institute of Resources Science, Beijing Normal University, Beijing 100875, China
Abstract:Oriented to the demands of vast RS information management for RS image retrieval, the applications of spectral features are discussed by taking hyperspectral RS image as an example. It is proposed that spectral features-based retrieval includes two modes: retrieval based on point mask and polygon mask. The most key issues in retrieval are spectral features extraction and similarity measure. The spectral vector can be used to retrieval directly, and the spectral angle and spectral information divergence (SID) are effective in similarity measure. The local maximum and minimum in reflectance spectral curve, corresponding to reflectance apex and absorption apex, can be used to retrieval also, but effective matching strategy should be adopted. The quantitative indexes for spectral curves such as moment, fractal and entropy are not suitable to retrieval because of poor similarity measure performance.
[1] Asha Vellaikal, Son Dao, C-C Jay Kuo. http://www.citeseer. nj. nec. com. [2] HUANG Xiang-lin, SHEN Lan-sun(黄祥林, 沈兰荪). Acta Electronica Sinica(电子学报), 2002, 30(7): 1065. [3] LUO Rui, ZHANG Yong-sheng, FAN Yong-hong(罗 睿, 张永生, 范永弘). Journal of Remote Sensing(遥感学报), 2002, 6(1): 24. [4] ZHANG Yu-jin(章毓晋). Content-Based Visual Information Retrieval(基于内容的视觉信息检索). Beijing: Science Press(北京: 科学出版社), 2003. [5] Asha Vellaikal, C-C Jay Kuo, Son Dao. Proceedings of SPIE, 1995, 2606: 232. [6] Asha Vellaikal, C-C Jay Kuo, Son Dao. Proceedings of SPIE, 1995, 2488: 178. [7] Datcu M, Seidel K. IEEE International Conference on Geoscience and Remote Sensing Symposium, IGARSS '99 Proceedings, 1999, 2: 1335. [8] Giovanni B Marchisio, John Cornelison. IEEE International Conference on Geoscience and Remote Sensing Symposium, IGARSS '99 Proceedings, 1999, 1: 290. [9] Marchisio G B, Wen-Hao Li, Sannella M,et al. IEEE International Conference on Geoscience and Remote Sensing Symposium, IGARSS '98 Proceedings, 1998, 2: 669. [10] Kruse F A, Lefkoff A B. Proceedings of the 5th International Symposium on Spectral Sensing Research (ISSSR'99), 1999, 339. [11] Arnold W M Smeulders, Marcel Worring, Simone Santini,et al. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(12): 1349. [12] PU Rui-liang, GONG Peng(浦瑞良, 宫 鹏). Hyperspectral Remote Sensing and Its Application(高光谱遥感及其应用). Beijing: Higher Education Press(北京: 高等教育出版社), 2001. [13] WANG Jin-nian, ZHANG Bing, LIU Jian-gui,et al(王晋年, 张 兵, 刘建贵,等). Journal of Image and Graphics(中国图像图形学报), 1999, 4A(11): 957.