Please wait a minute...
img

Wechat

Remote Sensing Technology and Application  2010, Vol. 25 Issue (3): 358-365    DOI: 10.11873/j.issn.1004-0323.2010.3.358
article     
Determination on the Optimum Band Combination of HJ-1A Hyperspectral Data in the Case Region of Dongguan Based on Optimum Index Factor and J-M Distance
MA Na1,2,Hu Yun-feng1,ZHUANG Da-fang1,WANG Xin-sheng2
1.Institute of Geographic Sciences and Natural Resources Research,Beijing 100101,China;
2.School of Resources and Environment,Hubei University,Wuhan 430062,China
Download:  PDF (2342KB) 
Export:  BibTeX | EndNote (RIS)      
Abstract  

Comparing with traditional remote sensing data,strong band relevant and data redundancy are prevalent in the hyperspectral remote sensing data,so band selection is necessary for the efficient research.This paper taking Dongguan as a study area,using Environment and Disaster Monitoring and Forecasting of small satellite hyperspectral data,comprehensively analyzed the information content and correlation of the bands,then using three kinds of classical band index to choose the best band combinations.Through contrastive analysis of the three models,we improved the Optimum Index Factor by giving thresholds to coefficient of correlation and mean square deviation to select the optimum band combinations on the problems in the classical models.In the end,taking the farmland,woodland and grassland for example,apply Jeffreys-Matusita Distance model to calculate their separability and pointed out that the band combination of 50-80-108、50-79-8 and 50-80-111 are the best combinations for distinguishing grassland-woodland,grassland\|farmland and woodland\|farmland separately.

Key words:  Environment and disaster monitoring and forecasting of small satellite      Hyperspectral      Optimum band combination      Separability     
Published:  20 October 2010
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
MA Na
HU Yun-feng
ZHUANG Da-fang
WANG Xin-sheng

Cite this article: 

MA Na, HU Yun-feng, ZHUANG Da-fang, WANG Xin-sheng. Determination on the Optimum Band Combination of HJ-1A Hyperspectral Data in the Case Region of Dongguan Based on Optimum Index Factor and J-M Distance. Remote Sensing Technology and Application, 2010, 25(3): 358-365.

URL: 

http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2010.3.358     OR     http://www.rsta.ac.cn/EN/Y2010/V25/I3/358

[1]Tong Qingxi,Zhang Bing,Zheng Lanfen.Hyperspectral Remote Sensing[M].Beijing:Higher Education Press,2006.[童庆禧,张兵,郑兰芬.高光谱遥感--原理、技术与应用[M].北京:高等教育出版社,2006.]
[2]Su Hongjun,Du Peijun.Study on Feature Selection and Extraction of Hyperspectral Data[J].Remote Sensing Technology and Application,2006,21(4):288-293.[苏红军,杜培军.高光谱数据特征选择与特征提取研究[J].遥感技术与应用,2006,21(4):288-293.]
[3]Hughes G F.On the Mean Accuracy of Statistical Pattern Recognizers[J].IEEE Transactions on Information Theory,1968,14(1):55-63.
[4]Li Xing.Study on Band Selection for Hyperspectral Image of Vegetable[D].Shandong University of Sciense and University,2006.[ 李行.植被高光谱遥感影像特征波段的选择方法研究[D].山东科技大学,2006.]
[5]Chen Guihong,Tang Liling,Jiang Xiaoguang.Feature Selection and Extraction of Hyperspectral Data--Based on HyMap Data of Barrax in Spanish[J].Arid Land Geography,2006,29(1):143-149.[陈桂红,唐伶俐,姜小光.高光谱遥感图像特征选择和提取方法的比较--基于试验区Barrax 的HyMap 数据[J].干旱区地理,2006,29(1):143-149.]
[6]Jiang Xiaoguang,Tang Liling,Wang Changyao,et al.Spectral Characteristics and Feature Selection of Hyperspectral Remote Sensing Data--Taking Shunyi Region of Beijing as a Study Area[J].Remote Sensing Technology and Application,2002,17(2):59-65.[姜小光,唐伶俐,王长耀,等.高光谱数据的光谱信息特点及面向对象的特征参数选择--以北京顺义区为例[J].遥感技术与应用,2002,17(2):59-65.]
[7]Xu Han,Yan Qin,Xu Panlin,et al.The Best Band Selection and Quality Assessment of Multi-source Remote Sensing Image Fusion[J].Science of Surveying and Mapping,2007,32(3):72-74.[许菡,燕琴,徐泮林,等.多源遥感影像融合最佳波段选择及质量评价研究[J].测绘科学,2007,32(3):72-74.]
[8]Shannon C E.A Mathematical Theory of Communication[J].Bell System Technical Journal,1948,27(3):379-423.
[9]Li Xiehui,Zhen Yi.Study on tbe Extraction of Remote Sensing Information of Land Use/Cover Based on Optimum Band Combinatin[J].Journal of Anhui Agricalture Sciense,2009,37(14):6696-6699.[李谢辉,郑奕.基于最优波段组合的土地利用/覆盖遥感信息提取研究[J].安徽农业科学,2009,37(14):6696-6699.]
[10]Yang Jinhong,Yi Qiu,Gu Songshan,et al.Band Combination Research of City Region Hyperspectral Remote Sensing Data in False Color Synthesis[J].Journal of Nanjing Institute of Meteorology,2005,28(3):289-295.[杨金红,尹球,顾松山,等.城区高光谱遥感数据假彩色波段组合研究[J].南京气象学院学报,2005,28(3):289-295.]
[11]Chavez P S,Berlin G L,Sowers L B.Statistical-method for Selecting Landsat MSS Ratios[J].Journal of Applied Photographic Engineering,1982,8(1):23-30.
[12]Manolakis D,Marde D.Dimensionality Reduction Perspectral Imaging Data Using Local Principal Components Transforms[C]//Proceedings of SPIE,2004,5425:393-401.
[13]Yang Zhusheng,Guo Lei,Luo Xin.A PCA Based Band Selection Algorithm of Hyperspectral Image[J].Microelectronics & Computer,2006,23(12):72-74.[杨诸胜,郭雷,罗欣,等.一种基于主成分分析的高光谱图像波段选择算法[J].微电子学与计算机,2006,23(12):72-74.]
[14]Green A A,Berman M,Switzer P,et al.A Transformation for Ordering Multispectral Data in Terms of Image Quality with Implications for Noise Removal[J].IEEE Transactions on Geoscience and Remote Sensing,1988,26(1):65-74.
[15]Liu Chunhong,Zhao Chunhui,Zhang Lingyan.A New Method of Hyperspectral Remote Sensing Image Dimensional Reductio[J].Journal of Image and Graphics,2005,10(2):218-222.[刘春红,赵春晖,张凌雁.一种新的高光谱遥感图像降维方法[J].中国图象图形学报,2005,10(2):218-222.]
[16]Bruzzone L,Roli F,Serpico S B.An Extension of the Jeffreys-Matusita Distance to Multiclass Cases for Feature Selection[J].IEEE Transactions on Geoscience and Remote Sensing,1995,33(6):1318-1321.
[17]Wang Changyao,Liu Zhengjun,Yan Chunyan.A Experimental Study on Imaging Spectrometer Data Feature Selection and Wheat Type Identification[J].Journal of Remote Sensing,2006,10(2):249-254.[王长耀,刘正军,颜春燕.成像光谱数据特征选择及小麦品种识别实验研究[J].遥感学报,2006,10(2):249-254.]
[18]De Backer S,Kempeneers P,Debruyn W,et al.A Band Selection Technique for Spectral Classification[J].IEEE Geoscience and Remote Sensing Letters,2005,2(3):319-323.
[19]Kailath T.Divergence and Bhattacharyya Distance Measures in Signal Selection[J].IEEE Transactions on Communication Technology,1967,15(1):52-60.
[20]Ball J E,West T,Prasad S,et al.Level Set Hyperspectral Image Segmentation Using Spectral Information Divergence-based Best Band Selection[C]//2007 IEEE International Geoscience and Remote Sensing Symposium,Vols 1-12-Sensing and Understanding Our Planet.2007,IEEE:New York.
[21]Liu Jianping,Zhao Yingshi.Methods on Optimal Bands Selection in Hyperspectral Remote Sensing Data Interpretation[J].Journal of Graduate School ,Academia Sinica,1999,16(2):153-161.[刘建平,赵英时.高光谱遥感数据解译的最佳波段选择方法研究[J].中国科学院研究生院学报,1999,16(2):153-161.]
[22]Qi La,Liu Liangyun,Zhao Chunjiang,et al.Selection of Optimum Periods for Extracting Winter Wheat Based on Multi-temporal Remote Sensing Images[J].Remote Sensing Technology and Application,2008,23(2):154-160.[齐腊,刘良云,赵春江,等.基于遥感影像时间序列的冬小麦种植监测最佳时相选择研究[J].遥感技术与应用,2008,23(2):154-160.]

 

No Suggested Reading articles found!