光谱学与光谱分析 |
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Spectral Information System in Arid Areas Based on .NET and SuperMap |
XIA Jun1,2,TASHPOLAT·Tiyip1,2*,ZHANG Fei1,2,JI Hong-liang1,2 |
1. College of Resources and Environment Sciences,Xinjiang University,Urumqi 830046,China 2. Key Laboratory of Oasis Ecology under Ministry of Education,Xinjiang University,Urumqi 830046,China |
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Abstract The characteristic of object spectrum is not only the base of the quantification analysis of remote sensing, but also the main content of the basic research of remote sensing. The typical surface object spectral database in arid areas oasis is of great significance for applied research on remote sensing in soil salinization. In the present paper, the authors took the Ugan-Kuqa River Delta Oasis as an example, unified .NET and the SuperMap platform with SQL Server database stored data, used the B/S pattern and the C# language to design and develop the typical surface object spectral information system, and established the typical surface object spectral database according to the characteristics of arid areas oasis. The system implemented the classified storage and the management of typical surface object spectral information and the related attribute data of the study areas; this system also implemented visualized two-way query between the maps and attribute data, the drawings of the surface object spectral response curves and the processing of the derivative spectral data and its drawings. In addition, the system initially possessed a simple spectral data mining and analysis capabilities, and this advantage provided an efficient, reliable and convenient data management and application platform for the Ugan-Kuqa River Delta Oasis’s follow-up study in soil salinization. Finally, It’s easy to maintain, convinient for secondary development and practically operating in good condition.
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Received: 2010-09-27
Accepted: 2011-02-21
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Corresponding Authors:
TASHPOLAT·Tiyip
E-mail: Tash@xju.edu.cn
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[1] TONG Qing-xi,TIAN Guo-liang(童庆禧,田国良). Spectral and Analysis of Typical Earth Objects of China(中国典型地物波谱及其特征分析). Beijing:Science Press(北京:科学出版社),1990. [2] WAN Yu-qing,TAN Ke-long,ZHOU Ri-ping,et al(万余庆,谭克龙,周日平,等). Hyperspectral Remote Sensing Application and Investigation(高光谱遥感应用研究). Beijing:Science Press(北京:科学出版社),2006. [3] CHEN Shu-peng,LU Xue-jun,ZHOU Cheng-hu(陈述彭,鲁学军,周成虎). Geographic Information Systems(地理信息系统导论). Beijing:Science Press(北京:科学出版社),1999. [4] Salisbury J W,Walter L S,Vergo N,et al. Infrared(2.1~25 μm) Spectra of Minerals. Hopkins:Johns Hopkins University Press,1991. [5] Weguller U. Int. Journal Remote Sens.,1993,14(5):15. [6] Wegmuller C, Matzler R Huppi, Schanda E. IEEE Transaction. on Geosci. and Remote Sens.,1994,32(3):698. [7] d’ Auria G. et al. Radio Sci.,1998,33(2):21. [8] Zomer R J,Trabucco A,Ustin S L. Journal of Environmental Management,2009,90:2170. [9] Clark Roger N,Swayze Gregg A,Wise Richard,et al. USGS Open File Report,2003. [10] TIAN Qing-jiu,GONG Peng(田庆久,宫 鹏). Remote Sensing Information(遥感信息),2002,(3):2. [11] ZHOU Xiao-hu,ZHOU Ding-wu(周小虎,周鼎武). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2009,29(6):1616. [12] LAN Shao-min(蓝绍敏). Computer and Digital Engineering(计算机与数字工程),2009,37(3):183,196. [13] SUN Hong-mei,WANG Ping,JIA Rui-sheng(孙红梅,王 萍,贾瑞生). Computer Engineering and Applications(计算机工程与应用),2006(29):220,232. [14] REN Li-hua,FENG Wu-fa(任利华,冯伍法). Engineering of Surveying and Mapping(测绘工程),2008,17(4):59. [15] CHEN Yong-gang,DING Li-xia,GE Hong-li,et al(陈永刚,丁丽霞,葛宏立,等). Science of Surveying and Mapping(测绘科学),2010,35(1): 215,227. [16] ZHANG Fei,TASHPOLAT·Tiyip,DING Jian-li,et al(张 飞,塔西甫拉提·特依拜,丁建丽,等). Journal of Infrared and Millimeter Waves(红外与毫米波学报),2010,29(3):190. [17] KONG Wei-shu,WANG Xiu-zhen,TANG Yan-lin(孔维姝,王秀珍,唐延林). Journal of Southwest Agricultural University·Natural Science)(西南农业大学学报·自然科学版),2004,26(1):5. [18] Gu Yanfeng,Wang Chen,Wang Shizhe,et al. Pattern Recognition Letters,2011,32:114.
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