|
|
|
|
|
|
Type classification of 2D scatter plot of remote sensing image based on the physical meaning and extraction of remote sensing alteration information |
| ZHANG Yuanfei1,2, YUAN Jiming1, YANG Zian1, LYU Weiyan3, ZHANG Siying1,4 |
1. China Non-ferrous Metals Resource Geological Survey, Beijing 100012, China;
2. Guilin Resource Geological Academy, Guilin 541004, China;
3. Beijing Geely University, Beijing 102202, China;
4. Centre South University, Changsha 408309, China |
|
|
|
|
Abstract 2D scatter plot of remote sensing image,which is the best graphical representation method,expresses the structural information of the combination of two bands in spectral space; nevertheless, previous work only focused on such problems as the background - abnormal subspace model in the dot matrix space of spectral data,the estimation of the elliptical geometry parameters of 2D scatter plot based on the Gaussian distribution model of combination of 2 bands’ probability density,and the relationship between the background,interference and alteration anomaly of remote sensing image to the spatial structure of 2D scatter plot. Further studies show that the type classification of 2D scatter plot of remote sensing image is based on the physical meaning,and it can not only locate the background,interference and alteration information of the remote sensing image but also direct the selection of the method for the extraction of the remote sensing alteration information. At last,the authors discussed different kinds of 2D scatter plot practically used in the extraction of the remote sensing alteration information and,with practical examples, explained the theoretical basis and the application results of the 2D scatter plot used in the extraction of the remote sensing alteration information,which is based on the physical meaning.
|
| Keywords
TerraSpec spectrometer
Duobuza
porphyry copper deposit
alteration
spectrum
|
|
|
|
Issue Date: 28 April 2013
|
|
|
[1] 张远飞,吴德文,张艮中,等.高光谱数据的波段序结构分析与应用研究[J].国土资源遥感,2010,22(1):30-38. Zhang Y F,Wu D W,Zhang G Z, et al.Study on band sequence structure analysis of hyperspectral data[J].Remote Sensing for Land and Resources,2010,22(1):30-38.
[2] 张远飞,吴德文,袁继明,等.遥感蚀变信息多层次分离技术模型与应用研究[J].国土资源遥感,2011,23(4):6-13. Zhang Y F,Wu D W,Yuan J M,et al.The model and application of multi-level detaching technique of remote sensing alteration information[J].Remote Sensing for Land and Resources,2011,23(4):6-13.
[3] 张远飞,袁继明,朱谷昌,等.基于遥感数据随机模型的空间结构分析与蚀变信息提取[J].国土资源遥感,2010,22(4):34-39. Zhang Y F,Yuan J M,Zhu G C,et al.A study of spatial structure analysis and alteration information extraction based on random models of remote sensing data[J].Remote Sensing for Land and Resources,2010,22(4):34-39.
[4] 张远飞,杨自安,张普斌,等.高(多)光谱数据的背景-异常子空间模型研究[J].地球信息科学学报,2009,11(3):282-290. Zhang Y F,Yang Z A,Zhang P B,et al.Research on background - anomaly sub-space model of hyper(multi-)spectral data[J].Journal of Geo-Information Science,2009,11(3):283-290.
[5] 冈萨雷斯,伍兹.数字图像处理[M].朱志刚,林学阎,石定机,等译.北京:电子工业出版社,2002. Castleman K R,Woods F E.Digital image processing[M].Zhu Z G,Lin X Y,Shi D J,et al.Translated.Beijing:Publishing House of Electronics Industry,2002.
[6] 张远飞,袁继明,朱谷昌,等.遥感蚀变信息提取中的干扰因素研究与消除对策[J].遥感信息,2010(6):3-9. Zhang Y F,Yuan J M,Zhu G C,et al.Study and elimination of the interfering factors in remote sensing alteration information extraction[J].Remote Sensing Information,2010(6):3-9.
[7] Small C.The Landsat ETM+ spectral mixing space[J].Remote Sensing of Environment,2004,93(1/2):1-17.
[8] 徐桃.基于光谱数据空间结构特征分析的遥感蚀变信息提取研究[D].长沙:中南大学,2011. Xu T.Research on extraction alteration information of remote sensing based on spectral space data analysis[D].Changsha:Centre South University,2011.
[9] 张玉君,曾朝铭,陈薇.ETM+(TM)蚀变遥感异常提取方法研究与应用——方法选择和技术流程[J].国土资源遥感,2003,15(2):44-49. Zhang Y J,Zeng Z M,Chen W.The methods for extraction of alteration anomalies from the ETM+(TM) data and their application:Method selection and technological flow chart[J].Remote Sensing for Land and Resources,2003,15(2):44-49. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
| |
Shared |
|
|
|
|
| |
Discussed |
|
|
|
|
2013,
Vol. 25
