subpixel
Merickel, M.B.,
Lundgren, J.C.,
Shen, S.S.,
A Spatial Processing Algorithm to Reduce the Effects of
Mixed Pixels and Increase the Separability Between Classes,
PR(17), No. 5, 1984, pp. 525-533.
WWW Version.
BibRef
8400
Foody, G.M.,
Arora, M.K.,
Incorporating Mixed Pixels in the Training, Allocation and
Testing Stages of Supervised Classifications,
PRL(17), No. 13, November 25 1996, pp. 1389-1398.
9701
BibRef
Townshend, J.R.G.,
Huang, C.,
Kalluri, S.N.V.,
Defries, R.S.,
Liang, S.,
Yang, K.,
Beware of per-pixel characterization of land cover,
JRS(21), No. 4, March 2000, pp. 839.
Apply mixture models
0002
BibRef
Faraklioti, M.,
Petrou, M.,
Recovering more classes than available bands for sets of mixed pixels
in satellite images,
IVC(18), No. 9, June 2000, pp. 705-713.
WWW Version.
0004
BibRef
Earlier:
Recovering More Classes than Available Bands for Mixed Pixels
in Remote Sensing,
BMVC98(xx-yy).
BibRef
Faraklioti, M.,
Petrou, M.,
Illumination invariant unmixing of sets of mixed pixels,
GeoRS(39), No. 10, October 2001, pp. 2227-2234.
IEEE Top Reference.
0111
BibRef
Camilleri, K.P.[Kenneth P.],
Petrou, M.[Maria],
Spectral Unmixing of Mixed Pixels for Texture Boundary Refinement,
ICPR00(Vol III: 1084-1087).
IEEE DOI may work or IEEE-CS DOI may work.
HTML Version.
0009
BibRef
Hsieh, P.F.[Pi-Fuei],
Lee, L.C.,
Chen, N.Y.[Nai-Yu],
Effect of spatial resolution on classification errors of pure and mixed
pixels in remote sensing,
GeoRS(39), No. 12, December 2001, pp. 2657-2663.
IEEE Top Reference.
0201
BibRef
Kustas, W.P.[William P.],
Norman, J.M.[John M.],
Evaluating the Effects of Subpixel Heterogeneity on
Pixel Average Fluxes,
RSE(74), No. 3, 2000, pp. 327- 342.
0102
BibRef
Cihlar, J.,
Du, Y.[Yong],
Latifovic, R.,
Land cover dependence in the detection of contaminated pixels in
satellite optical data,
GeoRS(39), No. 5, May 2001, pp. 1084-1094.
IEEE Top Reference.
0106
BibRef
Manolakis, D.,
Siracusa, C.,
Shaw, G.,
Hyperspectral subpixel target detection using the linear mixing model,
GeoRS(39), No. 7, July 2001, pp. 1392-1409.
IEEE Top Reference.
0108
BibRef
Rosin, P.L.,
Robust pixel unmixing,
GeoRS(39), No. 9, September 2001, pp. 1978-1983.
IEEE Top Reference.
PDF Version.
0111
BibRef
Ju, J.C.[Jun-Chang],
Kolaczyk, E.D.[Eric D.],
Gopal, S.[Sucharita],
Gaussian mixture discriminant analysis and sub-pixel land cover
characterization in remote sensing,
RSE(84), No. 4, 10 April 2003, pp. 550-560.
WWW Version.
0309
BibRef
Kolaczyk, E.D.,
On the use of prior and posterior information in the subpixel
proportion problem,
GeoRS(41), No. 11, November 2003, pp. 2687-2691.
IEEE Abstract. IEEE Top Reference.
0311
BibRef
Miao, L.[Lidan],
Qi, H.R.[Hai-Rong],
Szu, H.[Harold],
A Maximum Entropy Approach to Unsupervised Mixed-Pixel Decomposition,
IP(16), No. 4, April 2007, pp. 1008-1021.
IEEE DOI may work or IEEE-CS DOI may work.
0704
BibRef
Earlier:
Unsupervised Decomposition of Mixed Pixels Using the Maximum Entropy
Principle,
ICPR06(I: 1067-1070).
WWW Version.
0609
BibRef
Viswanath, P.,
Pinkesh, R.[Rajwala],
l-DBSCAN: A Fast Hybrid Density Based Clustering Method,
ICPR06(I: 912-915).
WWW Version.
0609
BibRef
Acito, N.,
Corsini, G.,
Diani, M.,
Greco, M.,
A Stochastic Mixing Model Approach to Sub-Pixel Target Detection in
Hyper-Spectral Images,
ICIP05(I: 653-656).
IEEE DOI may work or IEEE-CS DOI may work.
0512
BibRef
Chan, J.C.W.[Jonathan C.W.],
Defries, R.S.[Ruth S.],
Townshend, J.R.G.[John R.G.],
Improved Recognition of Spectrally Mixed Land Cover Classes Using
Spatial Textures and Voting Classifications,
CAIP01(217 ff.).
HTML Version.
0210
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Detecting Clusters and Number of Clusters .