yperspectral discrimination of tree species with different classifications using ingle-and multiple-endmember

[1]  Gregory Asner,et al.  Improving Discrimination of Savanna Tree Species Through a Multiple-Endmember Spectral Angle Mapper Approach: Canopy-Level Analysis , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[2]  Zhi-hui Wang,et al.  [Tree species discrimination based on leaf-level hyperspectral characteristic analysis]. , 2010, Guang pu xue yu guang pu fen xi = Guang pu.

[3]  R. Pu Broadleaf species recognition with in situ hyperspectral data , 2009 .

[4]  Chein-I Chang,et al.  An information-theoretic approach to spectral variability, similarity, and discrimination for hyperspectral image analysis , 2000, IEEE Trans. Inf. Theory.

[5]  Josée Lévesque,et al.  Vegetation Species Identification Using Hyperspectral Imagery , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

[6]  Ajai,et al.  Oilseed crop discrimination : selection of optimum bands and role of middle infrared , 1995 .

[7]  F. M. Danson,et al.  RED-EDGE RESPONSE TO FOREST LEAF-AREA INDEX (VOL 16, PG 183, 1995) , 1995 .

[8]  Anne-Katrin Mahlein,et al.  Remote sensing to detect plant stress induced by Heterodera schachtii and Rhizoctonia solani in suga , 2011 .

[9]  Wei He Application of Euclidean norm in multi-temporal remote sensing image change detection , 2010, 2010 3rd International Congress on Image and Signal Processing.

[10]  K. V. Ramana,et al.  A new hybrid spectral similarity measure for discrimination among Vigna species , 2011, 1509.05767.

[11]  J. Boardman,et al.  Discrimination among semi-arid landscape endmembers using the Spectral Angle Mapper (SAM) algorithm , 1992 .

[12]  Jens Michael Carstensen,et al.  Density-based retrieval from high-similarity image databases , 2004, Pattern Recognit..

[13]  Tsehaie Woldai,et al.  Multi- and hyperspectral geologic remote sensing: A review , 2012, Int. J. Appl. Earth Obs. Geoinformation.

[14]  D. Roberts,et al.  Mapping two Eucalyptus subgenera using multiple endmember spectral mixture analysis and continuum-removed imaging spectrometry data , 2011 .

[15]  D. Roberts,et al.  Spectral changes with leaf aging in Amazon caatinga , 1998, Trees.

[16]  V. Alchanatis,et al.  Review: Sensing technologies for precision specialty crop production , 2010 .

[17]  A. Skidmore,et al.  Tropical mangrove species discrimination using hyperspectral data: A laboratory study , 2005 .

[18]  Fred A. Kruse,et al.  The Spectral Image Processing System (SIPS) - Interactive visualization and analysis of imaging spectrometer data , 1993 .

[19]  J. Smedsgaard,et al.  A new matching algorithm for high resolution mass spectra , 2004, Journal of the American Society for Mass Spectrometry.

[20]  Hsuan Ren,et al.  New hyperspectral discrimination measure for spectral similarity , 2003, SPIE Defense + Commercial Sensing.

[21]  B. Turner,et al.  Determination of Eucalypt forest landscape characteristics from high resolution hyperspectral data , 1997 .

[22]  Chein-I. Chang,et al.  New Hyperspectral Discrimination Measure for Spectral Characterization , 2004 .

[23]  Helmi Zulhaidi Mohd Shafri,et al.  A review on hyperspectral remote sensing for homogeneous and heterogeneous forest biodiversity assessment , 2010 .

[24]  Shenghui Fang,et al.  Discriminating tree species using hyperspectral reflectance data , 2009, International Symposium on Multispectral Image Processing and Pattern Recognition.

[25]  Kevin T. C. Jim,et al.  Advanced Airborne Hyperspectral Imaging System (AAHIS) , 2002, SPIE Optics + Photonics.

[26]  Benoit Rivard,et al.  Intra- and inter-class spectral variability of tropical tree species at La Selva, Costa Rica: Implications for species identification using HYDICE imagery , 2006 .

[27]  Terry Caelli,et al.  Discrimination of lianas and trees with leaf-level hyperspectral data , 2004 .

[28]  Lorenzo Bruzzone,et al.  An extension of the Jeffreys-Matusita distance to multiclass cases for feature selection , 1995, IEEE Trans. Geosci. Remote. Sens..

[29]  Margaret Kalacska,et al.  Differences in leaf traits, leaf internal structure, and spectral reflectance between two communities of lianas and trees: Implications for remote sensing in tropical environments , 2009 .

[30]  A. Gershman,et al.  Spectral matching accuracy in processing hyperspectral data , 2005, International Symposium on Signals, Circuits and Systems, 2005. ISSCS 2005..

[31]  S. Dobrowski,et al.  Steady-state chlorophyll a fluorescence detection from canopy derivative reflectance and double-peak red-edge effects , 2003 .

[32]  Jacob T. Mundt,et al.  Discrimination of hoary cress and determination of its detection limits via hyperspectral image processing and accuracy assessment techniques , 2005 .

[33]  Jie Lv,et al.  Sub-pixel mapping of urban green space using multiple endmember spectral mixture analysis of EO-1 Hyperion data , 2009, 2009 Joint Urban Remote Sensing Event.

[34]  Dhaval Vyas,et al.  Evaluation of classifiers for processing Hyperion (EO-1) data of tropical vegetation , 2011, Int. J. Appl. Earth Obs. Geoinformation.

[35]  Moses Azong Cho,et al.  Spectral band discrimination for species observed from hyperspectral remote sensing , 2009, 2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

[36]  I. Sobhan,et al.  Species discrimination from a hyperspectral perspective , 2007 .

[37]  C. Potter,et al.  A Comparison of Multispectral ASTER and Hyperspectral AVIRIS Multiple Endmember Spectral Mixture Analysis for Sagebrush and Herbaceous Cover in Yellowstone , 2012 .

[38]  D. Roberts,et al.  Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales , 2005 .

[39]  Helmi Zulhaidi Mohd Shafri,et al.  Hyperspectral Remote Sensing of Vegetation Using Red Edge Position Techniques , 2006 .