| Technology and Methodology |
|
|
|
|
|
Change Detection Method for High Resolution Remote Sensing Image in Association with Textural and Spectral Information |
| WANG Dong-guang1, XIAO Peng-feng1, SONG Xiao-qun2, WANG Tie-cheng3, CHEN Gang1 |
1. Department of Geographical Information Science, Nanjing University, Nanjing 210093, China;
2. Land and Resources Information Center of Jiangsu Province, Nanjing 210029, China;
3. Surveying Engineering Institute of Jiangsu Province, Nanjing 210013, China |
|
|
|
|
Abstract High resolution remote sensing image can provide a lot of spectral and textural information,and both of the two kinds of information can help effectively detect the changed information. However,the traditional methods of change-detection based on medium or low spatial resolution remote sensing images only use the spectral information to extract the changed information,with the ignorance of the textural information. In this paper,both the spectral and textural features are integrated in one change-detection method to extract the changed information from high resolution remote sensing image,and the method is called difference principal component transformation. The advantages of the proposed method can be concluded in two aspects. One is that it will be easy to get the internal changed details in the large changed areas according to textural information,which can compensate for the deficiency of spectral information in high resolution images. The other is that some post-processing procedures such as connecting narrow gaps and filling holes can make the change-detection result more complete. The experimental results show that some changes that are spectrally similar but texturally different can be effectively detected after adding textural information in this change-detection method.
|
| Keywords
Chaerhan salt lake
mineral resources
development status
mining environment
remote sensing monitoring
|
|
|
|
Issue Date: 13 November 2012
|
|
|
| [1] 赖祖龙,申邵洪,程新文.基于图斑的高分辨率遥感影像变化检测[J].测绘通报,2009(8):17-20.Lai Z L,Shen S H,Cheng X W.Change Detection of High-resolution Remote Sensing Image Based on Map Spot[J].Bulletin of Surveying and Mapping,2009(8):17-20(in Chinese). [2] 陈宇,杜培军,唐伟成,等.基于BJ-1小卫星遥感数据的矿区土地覆盖变化检测[J].国土资源遥感,2011(3):146-150.Chen Y,Du P J,Tang C,et al.Land Cover Change Detection in Coal Mining Area Using BJ-1 Small Satellite Remote Sensing Data[J].Remote Sensing for Land and Resources,2011(3):146-150(in Chinese with English Abstract).[3] [JP+3] Mas J F.Monitoring Land-cover Changes:A Comparison of Change Detection Techniques[J].International Journal of Remote Sensing,1999,20(1):139-152.[4] Berberoglu S,Akin A.Assessing Different Remote Sensing Techniques to Detect Land Use/Cover Changes in the Eastern Mediterranean[J].International Journal of Applied Earth Observtion and Geoinformation,2009(11):46-53.[5] 张锦水,潘耀忠,韩立建.光谱与纹理信息复合的土地利用/覆盖变化动态监测研究[J].遥感学报,2007,11(4):500-510.Zhang J S,Pan Y Z,Han L J.Land Use/Cover Change Detection with Multi-source Data[J].Journal of Remote Sensing,2007,11(4):500-510(in Chinese with English Abstract).[6] He C Y,Wei A N,Shi P J,et al.Detecting Land-use/Land-cover Change in Rural-urban Fringe Areas Using Extended Change-vector Analysis[J].International Journal of Applied Earth Observation and Geoinformation,2011,3(4):572-585.[7] 黎夏.利用主成分分析改善土地利用变化的遥感监测精度[J].遥感学报,1997,1(4):282-289.Li X.Accuracy Improvement of Land Use Change Detection Using Principal Component Analysis[J].Journal of Remote Sensing,1997,1(4):282-289(in Chinese with English Abstract).[8] 宋翠玉,李培军,杨锋杰.运用多尺度图像纹理进行城市扩展变化检测[J].武汉大学学报:信息科学版,2008,33(7):37-42.Song C Y,Li P J,Yang F J.The Application of Multiscale Image Texture to the Detection of Urban Expansion[J].Geomatics and Information Science of Wuhan University,2008,33(7):37-42(in Chinese with English Abstract).[9] 张鹏强,余旭初,刘智,等.多时相遥感图像相对辐射校正[J].遥感学报,2006,10(3):339-344.Zhang P Q,Yu X C,Liu Z,et al.A Study on Relative Radiometric Correction of Multitemporal Remote Sensing Images[J].Journal of Remote Sensing,2006,10(3):339-344(in Chinese with English Abstract).[10] Haralick R M.Statistical and Structural Approaches to Texture[J].Proceedings of the IEEE,1973,67(5):786-804.[11] 党青,杨武年.近20年成都市植被覆盖度动态变化检测及原因分析[J].国土资源遥感,2011(4):121-125.Dang Q,Yang W N.Dynamic Supervision and Reason Analysis of Vegetation Coverage Changes of Chengdu in the Past 20 Years[J].Remote Sensing for Land and Resources,2011(4):121-125(in Chinese with English Abstract).[12] Gong P.Change Detection Using Principal Component Analysis and Fuzzy Set Theory[J].Canadian Journal of Remote Sensing,1993,19(1):22-30.[13] Rogerson P A.Change Detection Thresholds for Remotely Sensed Images[J].Journal of Geographical Systems,2002(4):85-97. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
| |
Shared |
|
|
|
|
| |
Discussed |
|
|
|
|
2012,
Vol. 24
