| Technology and Methodology |
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THE CLASSIFICATION METHOD BASED ON REMOTE SENSING TECHNIQUES FOR LAND USE AND COVER |
| Gan Fuping12, Wang Runsheng2, Wang Yongjiang1 |
1. China University of Geoscience Beijing 100083;
2. Aero Geophysical Survey and Remote Sensing Center, the Ministry of Land and Resources, Beijing 100083 |
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Abstract Techniques of classification are very importance for Land Use and Cover Change(LUCC). LUCC study are on the basis of the image processing and the classification system in the first. Now the computer_based classification techniques' study has been focusing on the statistical pattern recognition and the knowledge_based classification rule. The final evaluation of accuracy will improve the classification rule.
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| Keywords
Mixed-pixel
Decomposition of linear mixed model
Maximum likelihood classification
End-members
PCA
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Issue Date: 02 August 2011
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| 1 Grandell J, et al. Subpixel Iand use classfication and retrieval of forest stem volume in the boreal forest Done by employing SSM/I data. Remote Sensing of Environment. 1998, 63:140~1542 Pierce L. E, et al. Multiemporal land-cover classification using SIR~C/X~SAR imagery. Remote Sensing of Environment, 1998,64:20~333 方红亮,黄绚.地学应用中的遥感图像处理若干问题的分析.地理研究,1997,16(2):96~1034 Congalton R G, et al. Mapping and morutoring agricultural crops and other land cover in the lower Colorado River Basin. PE&RS, 1998, 64(11):1107~11135 Cihlar J, et al. Classification by progressive generalization: A new authomated methodology for remote sensing multichannel data. Int. J. Remote Sersing,1998,19(14):2685~27046 Solaiman B, et al. An infomation fusion method for multispectral image classification postprocessing. IEEE Trend. Geosci and Remote Sensing, 1998, 36(2):395~4067 Haxsanyi J C, et al. Hyperspectral image classification and dimensionality reduction; an orthogonal subspace projection approach. IEEE Trans. Geosci. Remote Sensing, 1994, 32(4):779~7858 Vogelmon J e, et al. Regional cltaracterization of lead cover using multiple source of data. PE&RS,1998, 64(1):45~579 Todd S W, et al. Responses of spectral indices to variations in vegetation cover and soil background. PE&RS, 1998, 64(9):915~92110 Bonnin P, 7adorique B. An edge point/region cooperative segnentation spectic to 3D sconce reconstruction. in vcip' 90. SPIE,1990,1360:1270~128111 Ton J, et al. Knowledge-based segmentation of land images. IEEE Trans. Geosci. Remote Sensing, 1991, 29(3):222-23112 Wharton S W. A spectral-knowledge-based approach for urban land~discrimination. IEEE Traps. Geosci. Remote Sensing, 1987,Ge"25(5):272~28213 Nicolin B, et al. A knowledge-based system for the analysis of aerial images. IEEE Traps. Geosci. Rermte Sensing, 1987, GE-25(5):317~32914 陈白明.试论中国土地利用和土地班被变化及其人类驱动力研究.自然资源,1997,2:31~3515 Prakash A, et al. Land-use mapping and change detection in coal mining area-a,study in the Jharia coalfield, India. Int.J. Remote Sensing, 1998,19(3):391~41016 陈健飞."3S"技术与资源可持续利用.资源科学,1998,20(6):20~2417 刘葱平,朱启疆.应用高分辨率遥感数据进行土地利用与覆盖变化监测的方法及其研究进展.资源科学,1999,21(3):23~2718 Bruzzone L. An iteiati} technique for the detection of land-covner transition in multitempocal ramte sensing itrmge. IEEE Traps. Geosci.Remote Sensing 1997, 35(4):858~86719 Fisher P F. Visualizatbn of the reliability in classified remote sa>srg images. PE&RS, 1994, 60(7):905~910 |
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1999,
Vol. 11
