Integration of Spatial and Spectral Information for Hyperspectral Image Classification

[1]  John R. Jensen,et al.  Introductory Digital Image Processing: A Remote Sensing Perspective , 1986 .

[2]  Yiming Yang,et al.  A Comparative Study on Feature Selection in Text Categorization , 1997, ICML.

[3]  J. Besag Spatial Interaction and the Statistical Analysis of Lattice Systems , 1974 .

[4]  R. Kettig,et al.  Classification of Multispectral Image Data by Extraction and Classification of Homogeneous Objects , 1976, IEEE Transactions on Geoscience Electronics.

[5]  John K. Thomas,et al.  Interference-invariant target detection in hyperspectral images , 1998, Defense, Security, and Sensing.

[6]  B.L. Milenova,et al.  Mining high-dimensional data for information fusion: a database-centric approach , 2005, 2005 7th International Conference on Information Fusion.

[7]  Alan M. Lefcourt,et al.  Uses of Hyperspectral and Multispectral Laser Induced Fluorescence Imaging Techniques for Food Safety Inspection , 2004 .

[8]  B. Brisco,et al.  Precision Agriculture and the Role of Remote Sensing: A Review , 1998 .

[9]  Tuan Vo-Dinh,et al.  Hyperspectral fluorescence image analysis for use in medical diagnostics , 2005, SPIE BiOS.

[10]  Jiang Li,et al.  Dimensionality reduction of hyperspectral data using discrete wavelet transform feature extraction , 2002, IEEE Trans. Geosci. Remote. Sens..

[11]  J. Lakowicz Topics in fluorescence spectroscopy , 2002 .

[12]  T. A. Warner,et al.  An evaluation of spatial autocorrelation feature selection , 1999 .

[13]  A. Getis The Analysis of Spatial Association by Use of Distance Statistics , 2010 .

[14]  Keinosuke Fukunaga,et al.  Statistical Pattern Recognition , 1993, Handbook of Pattern Recognition and Computer Vision.

[15]  Peng Gong,et al.  A comparison of spatial feature extraction algorithms for land-use classification with SPOT HRV data , 1992 .

[16]  J. Besag On the Statistical Analysis of Dirty Pictures , 1986 .

[17]  C. Derksen,et al.  A spatial statistical operator applied to multidate satellite imagery for identification of coral reef stress , 2004 .

[18]  Wolfram Mauser,et al.  The airborne visible/infrared imaging spectrometer AVIS-2 -multiangular und hyperspectral data for environmental analysis , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[19]  L. Anselin Local Indicators of Spatial Association—LISA , 2010 .

[20]  Lori M. Bruce,et al.  Parametric projection pursuit for dimensionality reduction of hyperspectral data , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[21]  Y. R. Chen,et al.  USE OF HYPER– AND MULTI–SPECTRAL IMAGING FOR DETECTION OF CHICKEN SKIN TUMORS , 2000 .

[22]  R.J. Birk,et al.  Airborne hyperspectral sensor systems , 1994, IEEE Aerospace and Electronic Systems Magazine.

[23]  Bruce J. Tromberg,et al.  Face Recognition in Hyperspectral Images , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[24]  Qian Du,et al.  Band selection and its impact on target detection and classification in hyperspectral image analysis , 2003, IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003.

[25]  A. Stein,et al.  Spatial statistics for remote sensing , 2002 .

[26]  John A. Richards,et al.  Efficient maximum likelihood classification for imaging spectrometer data sets , 1994, IEEE Trans. Geosci. Remote. Sens..

[27]  D. E. Irwin,et al.  Exploitation of hyperspectral imagery and lidar for landuse classification , 1998, IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174).

[28]  Seong G. Kong,et al.  Principal component analysis for poultry tumor inspection using hyperspectral fluorescence imaging , 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

[29]  G. Jacquez,et al.  Local clustering in breast, lung and colorectal cancer in Long Island, New York , 2003, International journal of health geographics.

[30]  Michael W. Prairie,et al.  Visual method for spectral band selection , 2004, IEEE Geoscience and Remote Sensing Letters.

[31]  N. Keshava,et al.  Distance metrics and band selection in hyperspectral processing with applications to material identification and spectral libraries , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[32]  N. B. Venkateswarlu,et al.  Three stage ML classifier , 1991, Pattern Recognit..

[33]  Renfu Lu,et al.  Detection of bruises on apples using near-infrared hyperspectral imaging , 2003 .

[34]  Lorenzo Bruzzone,et al.  Classification of hyperspectral remote sensing images with support vector machines , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[35]  S. M. Jong,et al.  An integrated spatial and spectral approach to the classification of Mediterranean land cover types: the SSC method , 2001 .

[36]  David A. Landgrebe,et al.  Design of an Adaptive Classification Procedure for the Analysis of High-Dimensional Data with Limited Training Samples , 2001 .

[37]  Chein-I Chang,et al.  Optical biopsy of skin tumors , 1999, Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. N.

[38]  Pierre Goovaerts,et al.  Geostatistical incorporation of spatial coordinates into supervised classification of hyperspectral data , 2002, J. Geogr. Syst..

[39]  Jiang Li,et al.  Wavelet transform for dimensionality reduction in hyperspectral linear unmixing , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[40]  Chein-I Chang,et al.  A fast two-stage classification method for high-dimensional remote sensing data , 1998, IEEE Trans. Geosci. Remote. Sens..

[41]  David A. Landgrebe,et al.  Hyperspectral data analysis and supervised feature reduction via projection pursuit , 1999, IEEE Trans. Geosci. Remote. Sens..

[42]  Larry A. Rendell,et al.  A Practical Approach to Feature Selection , 1992, ML.

[43]  Moon S. Kim,et al.  DETECTION OF SKIN TUMORS ON CHICKEN CARCASSES USING HYPERSPECTRAL FLUORESCENCE IMAGING , 2004 .

[44]  Bruce J. Tromberg,et al.  Illumination-invariant face recognition in hyperspectral images , 2003, SPIE Defense + Commercial Sensing.

[45]  Robert F. Cromp,et al.  Support Vector Machine Classifiers as Applied to AVIRIS Data , 1999 .

[46]  J. Ord,et al.  Spatial Processes. Models and Applications , 1982 .

[47]  M. S. Kim,et al.  MULTISPECTRAL DETECTION OF FECAL CONTAMINATION ON APPLES BASED ON HYPERSPECTRAL IMAGERY: PART I. APPLICATION OF VISIBLE AND NEAR–INFRARED REFLECTANCE IMAGING , 2002 .

[48]  Kashif Rajpoot,et al.  SVM Optimization for Hyperspectral Colon Tissue Cell Classification , 2004, MICCAI.

[49]  David Casasent,et al.  Fusion algorithm for poultry skin tumor detection using hyperspectral data. , 2007, Applied optics.

[50]  Yud-Ren Chen,et al.  Systematic approach for using hyperspectral imaging data to develop multispectral imagining systems: Detection of feces on apples , 2006 .

[51]  Jon Atli Benediktsson,et al.  Exploiting spectral and spatial information in hyperspectral urban data with high resolution , 2004, IEEE Geoscience and Remote Sensing Letters.

[52]  Rebecca Baugh,et al.  Hyperspectral Remote Sensing Technology (HRST) program , 1997 .

[53]  Seong G. Kong,et al.  Band Selection of Hyperspectral Images for Automatic Detection of Poultry Skin Tumors , 2007, IEEE Transactions on Automation Science and Engineering.

[54]  M.T. Eismann,et al.  Strategies for hyperspectral target detection in complex background environments , 2006, 2006 IEEE Aerospace Conference.

[55]  David A. Landgrebe,et al.  The development of a spectral-spatial classifier for earth observational data , 1980, Pattern Recognit..

[56]  K. Staenz,et al.  Senescent vegetation and crop residue mapping in agricultural lands using artificial neutral networks and hyperspectral remote sensing , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[57]  Saldju Tadjudin,et al.  CLASSIFICATION OF HIGH DIMENSIONAL DATA WITH LIMITED TRAINING SAMPLES , 1998 .

[58]  Philip H. Swain,et al.  Remote Sensing: The Quantitative Approach , 1981, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[59]  Chenghai Yang,et al.  A Hyperspectral Imaging System for Agricultural Applications , 2001 .

[60]  Hyperspectral technology for geologic applications , 1993, Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium.

[61]  Chenghai Yang,et al.  Airborne Hyperspectral Imaging and Yield Monitoring of Grain Sorghum Yield Variability , 2002 .

[62]  Heesung Kwon,et al.  An adaptive segmentation algorithm using iterative local feature extraction for hyperspectral imagery , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[63]  B. Overholt,et al.  An AOTF-based dual-modality hyperspectral imaging system (DMHSI) capable of simultaneous fluorescence and reflectance imaging. , 2006, Medical engineering & physics.

[64]  T. Warner,et al.  Spatial autocorrelation analysis of hyperspectral imagery for feature selection , 1997 .

[65]  Junping Zhang,et al.  Classification of hyperspectral data using support vector machine , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[66]  Moon S. Kim,et al.  Analysis of hyperspectral fluorescence images for poultry skin tumor inspection. , 2004, Applied optics.

[67]  N. Lam,et al.  Spatial methods for characterising land cover and detecting land-cover changes for the tropics , 2002 .

[68]  Donald R. Miller,et al.  Melanoma incidence and mortality among US whites, 1969-1999. , 2002, JAMA.

[69]  G. Zavattini,et al.  A hyperspectral fluorescence imaging system for biological applications , 2003, 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515).

[70]  Ashish Banerji,et al.  A morphological approach to automatic mine detection problems , 1998 .

[71]  Pierre Goovaerts,et al.  Geostatistical and local cluster analysis of high resolution hyperspectral imagery for detection of anomalies , 2005 .

[72]  M. S. Hofstad,et al.  Diseases of poultry , 1969 .

[73]  G. Mercier,et al.  Support vector machines for hyperspectral image classification with spectral-based kernels , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[74]  Y. R. Chen,et al.  HYPERSPECTRAL REFLECTANCE AND FLUORESCENCE IMAGING SYSTEM FOR FOOD QUALITY AND SAFETY , 2001 .

[75]  John H. Gruninger,et al.  Extraction of spatial and spectral scene statistics for hyperspectral scene simulation , 2006, SPIE Remote Sensing.

[76]  C. A. Shah,et al.  Some recent results on hyperspectral image classification , 2003, IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003.

[77]  Jason Weston,et al.  Gene Selection for Cancer Classification using Support Vector Machines , 2002, Machine Learning.

[78]  Xuemei Cheng,et al.  HYPERSPECTRAL IMAGING AND PATTERN RECOGNITION TECHNOLOGIES FOR REAL TIME FRUIT SAFETY AND QUALITY INSPECTION , 2004 .

[79]  Seong G. Kong,et al.  Hyperspectral Fluorescence Imaging for Mouse Skin Tumor Detection , 2006 .

[80]  M. Lennon,et al.  Independent component analysis as a tool for the dimensionality reduction and the representation of hyperspectral images , 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).

[81]  W. Tobler A Computer Movie Simulating Urban Growth in the Detroit Region , 1970 .

[82]  Andreas Karlsson,et al.  Matrix Analysis for Statistics (2nd ed.), by James R. Schott , 2007 .

[83]  D. Mcgrath,et al.  Spatial distribution of soil organic carbon concentrations in grassland of Ireland , 2003 .

[84]  O. Dikshit,et al.  Improvement of classification in urban areas by the use of textural features: The case study of Lucknow city, Uttar Pradesh , 2001 .

[85]  Vladimir Vapnik,et al.  Statistical learning theory , 1998 .

[86]  David A. Landgrebe,et al.  Hyperspectral Image Data Analysis as a High Dimensional Signal Processing Problem , 2002 .

[87]  Bea Thai,et al.  Invariant subpixel target identification in hyperspectral imagery , 1999, Defense, Security, and Sensing.

[88]  Kashif Rajpoot,et al.  Hyperspectral colon tissue cell classification , 2004 .

[89]  G. Shaw,et al.  Signal processing for hyperspectral image exploitation , 2002, IEEE Signal Process. Mag..

[90]  N.M. Rajpoot,et al.  Wavelet based segmentation of hyperspectral colon tissue imagery , 2003, 7th International Multi Topic Conference, 2003. INMIC 2003..

[91]  B. Yazgan,et al.  A spatial filtering approach to the classification of multispectral remote sensing data , 2003, International Conference on Recent Advances in Space Technologies, 2003. RAST '03. Proceedings of.

[92]  Igor Kononenko,et al.  Estimating Attributes: Analysis and Extensions of RELIEF , 1994, ECML.

[93]  Gustavo Camps-Valls,et al.  Composite kernels for hyperspectral image classification , 2006, IEEE Geoscience and Remote Sensing Letters.

[94]  Donald Geman,et al.  Application of the Gibbs distribution to image segmentation , 1984, ICASSP.

[95]  Lori M. Bruce,et al.  Why principal component analysis is not an appropriate feature extraction method for hyperspectral data , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[96]  John A. Richards,et al.  Remote Sensing Digital Image Analysis: An Introduction , 1999 .

[97]  Stan Z. Li,et al.  Markov Random Field Modeling in Computer Vision , 1995, Computer Science Workbench.

[98]  F. Azuaje,et al.  Multiple SVM-RFE for gene selection in cancer classification with expression data , 2005, IEEE Transactions on NanoBioscience.

[99]  Nello Cristianini,et al.  An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .

[100]  D. Ferris,et al.  Multimodal Hyperspectral Imaging for the Noninvasive Diagnosis of Cervical Neoplasia , 2001, Journal of lower genital tract disease.

[101]  Josef Kittler,et al.  Contextual classification of multispectral pixel data , 1984, Image Vis. Comput..

[102]  L. M. Fu,et al.  Improving reliability of gene selection from microarray functional genomics data , 2003, IEEE Transactions on Information Technology in Biomedicine.

[103]  David A. Landgrebe,et al.  Fast likelihood classification , 1991, IEEE Trans. Geosci. Remote. Sens..

[104]  B. Guo,et al.  Adaptive band selection for hyperspectral image fusion using mutual information , 2005, 2005 7th International Conference on Information Fusion.

[105]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[106]  James R. Schott,et al.  Matrix Analysis for Statistics , 2005 .

[107]  Wesley E. Snyder,et al.  Band selection using independent component analysis for hyperspectral image processing , 2003, 32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings..

[108]  Haluk Derin,et al.  Modeling and Segmentation of Noisy and Textured Images Using Gibbs Random Fields , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[109]  Mingyi He,et al.  Band selection based on feature weighting for classification of hyperspectral data , 2005, IEEE Geoscience and Remote Sensing Letters.

[110]  Tuan Vo-Dinh,et al.  Fiber-Optic Remote Multisensor System Based on an Acousto-Optic Tunable Filter (AOTF) , 1996 .

[111]  Shiv O. Prasher,et al.  HYPERSPECTRAL IMAGE CLASSIFICATION TO DETECT WEED INFESTATIONS AND NITROGEN STATUS IN CORN , 2003 .

[112]  Pramod K. Varshney,et al.  An image change detection algorithm based on Markov random field models , 2002, IEEE Trans. Geosci. Remote. Sens..

[113]  Okan K. Ersoy,et al.  A Spectral-Spatial Classification Algorithm for Multispectral Remote Sensing Data , 2003, ICANN.

[114]  David E. Swayne,et al.  Diseases of poultry. , 2003 .

[115]  Victor Haertel,et al.  Experiments on feature extraction in remotely sensed hyperspectral image data , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

[116]  Y. R. Chen,et al.  Multispectral detection of fecal contamination on apples based on hyperspectral imagery: Part II. Application of hyperspectral fluorescence imaging , 2002 .

[117]  Michael A. Wulder,et al.  Local spatial autocorrelation characteristics of remotely sensed imagery assessed with the Getis statistic , 1998 .