Abstract Mixed pixels are abundant in medium-low resolution images,but the traditional methods for image classification could only assign pixels to one class,with the ignorance of the mixed pixels. To tackle this problem,the authors selected the typical area in Tianshan Glacier of Xinjiang as an experimental area. Based on the theory of mixed pixel decomposition and the principle of the linear model and taking into account the spectral characteristics of TM/ETM+ image as well as the land cover characteristics of Tianshan area, the authors developed an end-member composition model suitable for the glacier area,i.e., Snow-Vegetation-Rock-Shade model. After the appropriate end-members were selected and the reflectance values were substituted into the improved linear mixed pixel decomposition model,which satisfied the constraints,the abundance image of individual end-member was calculated and the snow cover information was easily and precisely extracted. The extraction results of snow cover in 1989 and 2000 demonstrate that the mixed pixel decomposition and the linear model could be used to monitor the snow cover changes in the glacier area.
WANG Guo-jun,SHAO Yun,WAN Zi, et al. Monitoring of Snow Cover Changes in Tianshan Mountains Based on Mixed Pixel Decomposition[J]. REMOTE SENSING FOR LAND & RESOURCES,
2012, 24(4): 146-151.
Shangguan D H,Liu S Y,Ding Y J,et al.Glacier Changes at the Head of Yurungkaz River in the West Kunlun Mountains in the Past 32 Years[J].Acta Geographica Sinica,2004,59(6):855-862(in Chinese with English Abstract).
Li Z Q,Shen Y P,Wang F T,et al.Response of Glacier Melting to Climate Change——Take Rümqi Glacier No.1 as an Example[J].Journal of Glaciology and Geocryology,2007,29(3):334-342(in Chinese with English Abstract).
Jiao K Q,Jing Z F,Han T D,et al.Variation of the Glacier No.1 at the Headwaters of the Rümqi River in the Tianshan Mountains during the Past 42 Years and Its Trend Prediction[J].Journal of Glaciology and Geocryology,2004,26(3):254-260(in Chinese with English Abstract).
[4] Gebbinck M S.Decomposition of Mixed Pixels in Remote Sensing Images to Improve the Area Estimation of Agricultural Fields[D].Nijmegen:Katholieke Universiteit Nijmegen,1998.
[5] 吕长春,王忠武,钱少猛.混合像元分解模型综述[J].遥感信息,2003(3):55-60.
Lv C C,Wang Z W,Qian S M.A Review of Pixel Unmixing Models[J].Remote Sensing Information,2003(3):55-60(in Chinese with English Abstract).
Hui W W,Yi D P,Liao C X,et al.The Study of Decomposing Mix Element[J].Forestry Science and Technology Information,2007,39(1):2-3(in Chinese with English Abstract).
Zhou P.Unpixel Technique of Remote Sensing Image and Its Applications in Land Cover and Ecological Environmental Changes:A Case Study in Huadu,Guangzhou[D].Guangzhou:Graduate School of Chinese Academy of Sciences(Guangzhou Institute of Geochemistry),2007:31-46(in Chinese with English Abstract).
Yue W Z,Wu C F.Urban Impervious Surface Distribution Estimation by Spectral Mixture Analysis[J].Journal of Remote Sensing,2007,11(6):914-922(in Chinese with English Abstract).
Li X,Wang F,Xu D B,et al.Application Research on the Method for Extracting Soybean Covered Areas Based on the Pixel Unmixing[J].Transactions of the Chinese Society of Agricultural Engineering,2008,24(1):213-217(in Chinese with English Abstract).
[10] Plaza A,Martinez P,Perez R,et al.A New Approach to Mixed Pixel Classification of Hyperspectral Imagery Based on Extended Morphological Profiles[J].Pattern Recognition,2004,37(2004):1097-1116.
Li S,Li W Z,Zhou J J,et al.A Review on Endmember Selection Methods in the Course of Mixed pixel Decomposition of Remote Sensing Images[J].Geography and Geo-Information Science,2007,23(5):35-42(in Chinese with English Abstract).
[12] Quarmby N A, Townshend J R, Settle J J,et al.Linear Mixture Modeling Applied to AVHRR Data for Crop Area Estimation[J].International Journal of Remote Sensing,1992,13(3):415-425.
[13] Settle J J,Drake N A.Linear Mixing and the Estimation of Ground Cover Proportions[J].International Journal of Remote Sensing,1993,14(6):1159-1177.
[14] Kerdiles H,Grondona M O.NOAA-AVHRR NDVI Decomposition and Subpixel Classification Using Linear Mixing in the Argentinean Pampa[J].International Journal of Remote Sensing,1995,16(7):1303-1325.
[15] Klein Gebbinck M S,Schouten T E,Settle J J.Decomposition of Mixed Pixels Based on a Physical Linear Mixture Model[J].Image and Signal Processing for Remote Sensing II,1995,2579:104-115.
[16] Cross A M,Settle J J,Drark N A,et al.Subpixel Measurement of Tropical Forest Cover Using AVHRR Data[J].International Journal of Remote Sensing,1991,12(5):1119-1129.
[17] 胡汝骥.中国天山自然地理[M].北京:中国环境科学出版社,2004:155-180.
Hu R J.China’s Tianshan Mountain Natural Geography[M].Beijing:China Environmental Science Press,2004:155-180(in Chinese).
Li S,Li W Z,Zhou J J,et al.Urban Land Cover Composition Abundance Extraction of Sub-pixel Level Based on ETM+ Image:A Case Study of Nanjing[J].Geography and Geo-Information Science,2008,24(2):17-24(in Chinese with English Abstract).
Zhang Z X,Deng R R,Li H,et al.Remote Sensing Monitoring of Vegetation Coverage in Southern China Based on Pixel Unmixing:A Case Study of Guangzhou City[J].Remote Sensing for Land and Resources,2011(3):88-94(in Chinese with English Abstract).
Zheng Y F,Fan W H,Zhang X F,et al.Pixel Unmixing Technology of MODIS Remote Sensing Data[J].Journal of Nanjing Institute of Meteorology,2008,31(2):145-150(in Chinese with English Abstract).
2012,
Vol. 24
