Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
Tóm tắt
Từ khóa
Tài liệu tham khảo
bioucas-dias, 2012, Hyperspectral unmixing based on mixtures of Dirichlet components, IEEE Trans Geosci Remote Sens, 50, 863, 10.1109/TGRS.2011.2163941
vikneswaran, 2011, Techniques of Parallelization in Markov Chain Monte Carlo Methods
zare, 2010, An investigation of likelihoods and priors for bayesian endmember estimation, Proc Int Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
singer, 1979, Mars: Large scale mixing of bright and dark surface materials and implications for analysis of spectral reflectance, Proc 15th Lunar and Planetary Science Conf, 1835
parente, 2010, Survey of geometric and statistical unmixing algorithms for hyperspectral images, Proc IEEE GRSS Workshop Hyperspectral Image Signal Process Evolution in Remote Sens (WHISPERS), 1
bioucas-dias, 2010, Hyperspectral unmixing: Geometrical, statistical, and sparse regression-based approaches, Proc SPIE Image and Signal Processing and Remote Sensing XVI, 7830, 1
guo, 2009, L1 unmixing and its application to hyperspectral image enhancement, SPIE Proc Algorithms and Technologies for Multispectral Hyperspectral and Ultraspectral Imagery VIII, 1, 1
chen, 1999, Independent component analysis for remote sensing study, Proc SPIE Image and Signal Processing and Remote Sensing V, 3871, 150, 10.1117/12.373252
bayliss, 1997, Analysing hyperspectral data with independent component analysis, Proc SPIE, 3240, 133, 10.1117/12.300050
zare, 2010, A comparison of deterministic and probabilistic approaches to endmember representation, Proc IEEE GRSS Workshop Hyperspectral Image Signal Process Evolution in Remote Sens (WHISPERS), 1
lee, 2001, Algorithms for non-negative matrix factorization, Advances in neural information processing systems, 556562
broadwater, 2011, Optical Remote Sensing Advances in Signal Processing and Exploitation, 247
parra, 2000, Unmixing hyperspectral data, Proc Adv Neural Inf Process Syst (NIPS), 12, 942
gillespie, 1990, Interpretation of residual images: Spectral mixture analysis of AVIRIS images, Owens Valley, California, Proc 2nd AVIRIS Workshop, 9054, 243
swayze, 1992, Ground-truthing AVIRIS mineral mapping at Cuprite, Nevada, Proc JPL Airborne Earth Sci Workshop, 47
kulbelka, 1931, Reflection characteristics of paints, Zeitschrift fur Technische Physik, 12, 593
chandrasekhar, 1960, Radiative Transfer
yuhas, 1992, Discrimination among semi-arid landscape endmembers using the spectral angle mapper (SAM) algorithm, Proc Ann JPL Airborne Geosci Workshop, 1, 147
winter, 1999, N-FINDR: An algorithm for fast autonomous spectral endmember determination in hyperspectral data, Proc SPIE Image Spectrometry V, 3753, 266, 10.1117/12.366289
close, 2011, Endmember and Proportion Estimation Using Physics-Based Macroscopic and Microscopic Mixture Models
close, 2012, Hyperspectral endmember and proportion estimation using macroscopic and microscopic mixture models, IEEE Trans Geosci Remote Sens
nascimento, 2009, Nonlinear mixture model for hyperspectral unmixing, Proc SPIE Image and Signal Process for Remote Sensing XV, 7477, 10.1117/12.830492
li, 2012, Spectral-spatial hyperspectral image segmentation using subspace multinomial logistic regression andMarkov random fields, IEEE Trans Geosci Remote Sens, 1
keshava, 2003, A survey of spectral unmixing algorithms, Lincoln Lab J, 14, 55
harsanyi, 1993, Determining the number and identity of spectral endmembers: An integrated approach using Neyman-Pearson eigenthresholding and iterative constrained RMS error minimization, Proc Thematic Conf Geologic Remote Sens, 1, 1
perczel, 1989, Convex constraint decomposition of circular dichroism curves of proteins, Croatica Chim Acta, 62, 189
bertero, 1997, Introduction to Inverse Problems in Imaging
scharf, 1991, Statistical Signal Processing Detection Estimation and Time Series Analysis
jia, 2007, Spectral and spatial complexity-based hyperspectral unmixing, IEEE Trans Geosci Remote Sens, 45, 3867, 10.1109/TGRS.2007.898443
zymnis, 2007, Hyperspectral image unmixing via alternating projected subgradients, Proc IEEE Asilomar Conf Signals Systems and Computers, 1164
iordache, 2012, Collaborative hierarchical sparse unmixing of hyperspectral data, Proc IEEE Int Conf Geosci Remote Sens (IGARSS)
gruninger, 2004, The sequential maximum angle convex cone (SMACC) endmember model, Proc SPIE, 5425, 1, 10.1117/12.543794
moller, 2010, A Convex Model for Matrix Factorization and Dimensionality Reduction on Physical Space and its Application to Blind Hyperspectral Unmixing
arngren, 2007, Modelling Cognitive Representations
zare, 2010, Robust endmember detection using l1 norm factorization, Proc IEEE Int Conf Geosci Remote Sens (IGARSS), 971
yangchi, 2005, Applying nonlinear manifold learning to hyperspectral data for land cover classification, Proc IEEE Int Conf Geosci Remote Sens (IGARSS), 6, 4311
boardman, 1994, Automated spectral analysis: A geological example using AVIRIS data, northern grapevine mountains, Nevada, Proc Thematic Conf Geologic Remote Sens, 1, 1
kim, 2001, Hyperspectral reflectance and fluorescence imaging system for food quality and safety, Trans the Am Soc Agricultural Eng, 44, 721
kruse, 1998, Spectral identification of image endmembers determined from AVIRIS data, Proc JPL Airborne Earth Sci Workshop, 1, 1
boardman, 1993, Automating spectral unmixing of AVIRIS data using convex geometry concepts, Proc Ann JPL Airborne Geosci Workshop, 1, 11
boardman, 1995, Mapping target signatures via partial unmixing of AVIRIS data, Proc JPL Airborne Earth Sci Workshop, 23
neville, 1999, Automatic endmember extraction from hyperspectral data for mineral exploration, Proc Canadian Symp Remote Sens, 21