Gillespie A R. Spectral mixture analysis of multispectral thermal infrared images[J]. Remote Sensing of Environment, 1992,42(2):137-145.
[2]
Foody G M, Cox D P. Sub-pixel land cover composition estimation using a linear mixture model and fuzzy membership functions[J]. Remote sensing, 1994,15(3):619-631.
[3]
Boardman J W. Geometric mixture analysis of imaging spectrometry data[C]//Geoscience and Remote Sensing Symposium, 1994. IGARSS'94 Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation, 1994, 4: 2369-2371.
[4]
Keshava N, Mustard J F. Spectral unmixing[J]. Signal Processing Magazine, IEEE, 2002,19(1):44-57.
[5]
Atkinson P M, Cutler M E J, Lewis H. Mapping sub-pixel proportional land cover with AVHRR imagery[J]. International Journal of Remote Sensing, 1997,18(4):917-935.
[6]
Bateson A, Curtiss B. A method for manual endmember selection and spectral unmixing[J]. Remote Sensing of Environment, 1996,55(3):229-243.
[7]
Winter M E. N-FINDR: an algorithm for fast autonomous spectral end-member determination in hyperspectral data[C]//SPIE's International Symposium on Optical Science, Engineering, and Instrumentation. International Society for Optics and Photonics, 1999:266-275.
[8]
Winter M E. A proof of the N-FINDR algorithm for the automated detection of endmembers in a hyperspectral image[C]//Defense and Security. International Society for Optics and Photonics, 2004:31-41.
[9]
Nascimento J M P, Dias J M B. Vertex component analysis: A fast algorithm to unmix hyperspectral data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2005,43 (4):898-910.
[10]
Chang C I, Wu C C, Liu W, et al. A new growing method for simplex- based endmember extraction algorithm[J]. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44(10):2804-2819.
[11]
Plaza A, Chang C I. Impact of initialization on design of endmember extraction algorithms[J]. IEEE Transactions on Geoscience and Remote Sensing, 2006,44(11):3397- 3407.
AVIRIS. AVIRIS data-ordering free AVIRIS standard data products[DB/OL].http://aviris.jpl.nasa.gov/data/free_data. html, 2013.
[14]
Clark R N, Swayze G A. Evolution in Imaging Spectroscopy Analysis and Sensor Signal-to-Noise: d P. An Examination of How Far We Have Come[C]//Summaries of the sixth annual JPL airborne Earth science workshop. Sixth Annual JPL Airborne Earth ScienceWorkshop, 1996.
[15]
Resmini R G, Kappus M E, Aldrich W S, et al. Mineral mapping with hyperspectral digital imagery collection experiment (HYDICE) sensor data at Cuprite, Nevada, USA[J]. International Journal of Remote Sensing, 1997,18(7): 1553-1570.
Liu X, Zhang B, Gao L R, et al. A maximum noise fraction transform with improved noise estimation for hyperspectral images[J]. Science in China Series F: Information Sciences, 2009,52(9):1578-1587.
[18]
Heinz D C, Chang C I. Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2001,39(3):529-545.
[19]
Ashton E A, Schaum A. Algorithms for the detection of sub-pixel targets in multispectral imagery[J]. Photogrammetric Engineering & Remote Sensing, 1998,64(7):723- 731.
