Dennison P E, Charoensiri K, Roberts D A, et al. Wildfiretemperature and land cover modeling using hyperspectraldata[J]. Remote Sensing of Environment, 2006,100(2):212-222.
[2]
Rashed T, Weeks J R, Roberts D, et al. Measuring thephysical composition of urban Morphology using multipleendmember spectral mixture models[J]. PhotogrammetricEngineering & Remote Sensing, 2003,69(9):1011-1020.
[3]
Powell R, Roberts D A, Dennison P E, et al. Sub-pixelmapping of urban land cover using multiple endmemberspectral mixture analysis: Manaus, Brazil[J]. RemoteSensing of Environment, 2007,106(2):253-267.
[4]
Li L, Mustard J F. Highland contamination in lunar maresoils: Improved mapping with multiple end-member spectralmixture analysis (MESMA)[J]. Journal of GeophysicalResearch, 2003(108):7-14.
[5]
丁建丽.绿洲LUCC变化与生态安全响应机制[M].乌鲁木齐:新疆大学出版社,2009.
[6]
Dennison P E, Halligan K Q, Roberts D A. A comparisonof error metrics and constraints for multiple endmemberspectral mixture analysis and spectral angle mapper[J].Remote Sensing of Environment, 2004,93(3):359-367.
Green A A, Berman M, Switzer P, et al. A transformationfor ordering multispectral data in terms of image qualitywith implications for noise removal[J]. IEEE, Transactionson Geoscience and Remote Sensing, 1988,26(1):65-74.
[10]
Tamás J, Lénárt C. Analysis of a small agricultural watershedusing remote sensing techniques [J]. InternationalJournal of Remote Sensing, 2006,27(17):3727-3738.
Wu C S, Murray A T. Estimating impervious surface distributionby spectral mixture analysis[J]. Remote Sensingof Environment, 2003,84(4):493-505.
[13]
Zhang L, Wu B, Huang B, et al. Nonlinear estimation ofsub-pixel proportion via kernel least square regression [J].International Journal of Remote Sensing, 2007,28 (18):4157-4172.
[14]
Maarrten T, Gerrit F E. Spectral mixture analysis for mappingland degradation in semi-arid areas [J]. Geologie enMijnbouw, 1999,77 (2):153-160.
[15]
Alferdo D C, Emilio C, Ana C. Satellite remote sensinganalysis to monitor desertification processes in thecrop-rangeland boundary of Argentina[J]. Journal of AridEnvironment, 2002,52(1):121-133.
[16]
Liu W, Wu E Y. Comparison of linear mixture models:sub-pixel classification[J]. Remote Sensing of Environment,2005,94(2):145-154.
[17]
Settle J. On constrained energy minimization and the partialunmixing of multispectral images[J]. IEEE Transactionson Geoscience and Remote Sensing, 2002,40(3):718-721.
[18]
Roberts D A, Gardner M, Church R, et al. Mapping chaparralin the Santa Monica Mountains using multiple endmemberspectral mixture models[J]. Remote Sensing of Environment,1998,65(3):267-279.
Painter T H, Roberts D A, Green R O, et al. The effect ofgrain size on spectral mixture analysis of snow-covered areafrom AVIRIS data[J]. Remote Sensing of Environment,1998,65(3):320-332.
[22]
Painter T H, Dozier J, Roberts D A, et al. Retrieval of subpixelsnow-covered area and grain size from imagingspectrometer data[J]. Remote Sensing of Environment,2003,85(1):64-77.
[23]
Dennison P E, Roberts D A. The effects of vegetation phenologyon endmember selection and species mapping inSouthern California chaparral[J]. Remote Sensing of Environment,2003,87(2-3):295-309.
[24]
Okin G S, Roberts D A, Murray B, et al. Practical limitson hyperspectral vegetation discrimination in arid andsemiarid environments[J]. Remote Sensing of Environment,2001,77(2):212-225.