References
- Baldi , A. 2010 . Automated dermoscopy image analysis of pigmented skin lesions . Cancers , 2 : 262 – 273 .
- Brown , C. W. 1995 . UV–visible spectral library search with mixtures . Applied Spectroscopy , 49 : 1022 – 1027 .
- Campagne , F. 2008 . Objective and automated protocols for the evaluation of biomedical search engines using No Title Evaluation protocols . BMC Bioinformatics , 9 : 1 – 14 .
- Carlson , M. F. 2006 . Spectral image processing in real-time . Journal of Real-Time Image Processing , 1 : 25 – 32 .
- Carvalho, O.A. and Meneses, P.R., 2000. Spectral correlation mapper (SCM): an improvement on the spectral angle mapper (SAM). In: Summaries of the 9th JPL airborne earth science workshop, vol. 9. JPL Publication
- Castro-Esau , K. L. 2006 . Variability in leaf optical properties of Mesoamerican trees and the potential for species classification . American Journal of Botany , 93 : 517 – 530 .
- Chang, C.I., 2000. An information theoretic-based approach to spectral variability, similarity and discriminability for hyperspectral image analysis. IEEE Transactions on Information Theory, 46, 1927–1932
- Chang , C. I. 2003 . Hyperspectral imaging: techniques for spectral detection and classification , Dordrecht : Kluwer Academic .
- Chen , X. , Warner , T. A. and Campagna , D. J. 2007 . Integrating visible, near-infrared and short wave infrared hyperspectral and multispectral thermal imagery for geologic mapping using simulated data . International Journal of Remote Sensing , 28 : 2415 – 2430 .
- Clark, R.N., Gallagher, A.J., and Swayze, G.A., 1990. Material absorption band depth mapping of imaging spectrometer data using the complete band shape least-squares algorithm simultaneously fit to multiple spectral features from multiple materials. In: Proceedings of the third airborne visible/infrared imaging spectrometer (AVIRIS) workshop, JPL Publication, vol. 90–54
- Clark , R.N. 2003 . Imaging spectroscopy: earth and planetary remote sensing with the USGS Tetracorder and expert systems . Journal of Geophysical Research , 108 : 1 – 44 .
- Cochrane , M. A. 2000 . Using vegetation reflectance variability for species level classification of hyperspectral data . International Journal of Remote sensing , 21 : 2075 – 2087 .
- Dalton , J. B. 2004 . Identification of spectrally similar materials using the USGS Tetracorder algorithm: the calcite–epidote–chlorite problem . Remote Sensing of Environment , 89 : 455 – 466 .
- Domokos , L. , Henneberg , D. and Weimann , B. 1983 . Optimization of search algorithms for a mass spectra library . Analytica Chimica Acta , 150 : 37 – 44 .
- Du , H. 2004 . New hyperspectral discrimination measure for spectral characterization . Optical Engineering , 43 : 1777 – 1786 .
- Farrand , W. H. and Harsanyi , J. C. 1997 . Mapping the distribution of mine tailings the Coeur d'Alene River Valley, Idaho, through the use of a constrained energy minimization technique . Remote Sensing of Environment , 59 : 64 – 76 .
- Gilmore , M. S. 2000 . Strategies for autonomous rovers on Mars . Journal of Geophysical Research – Planets , 105 : 212 – 223 .
- Gower , J. C. 1985 . Properties of Euclidean and non-Euclidean distance matrices . Linear Algebra and its Applications , 67 : 81 – 97 .
- Griffiths , P. R. 2000 . Open-path FT-IR spectrometry: is completely unattended operation feasible . Talanta , 53 : 223 – 231 .
- Griffiths , P. R. , Shao , L. and Leytem , A. B. 2009 . Completely automated open-path FT-IR spectrometry . Analytical and Bioanalytical Chemistry , 393 : 45 – 50 .
- Hapke , B. 1993 . Theory of reflectance and emittance spectroscopy , New York : Cambridge University Press .
- Harsanyi, J.C., 1993. Detection and classification of subpixel spectral signatures in hyperspectral image sequences. Dissertation (PhD). Baltimore, MD: Department of Electrical Engineering, University of Maryland Baltimore County
- Hirano , A. , Madden , M. and Welc , R. 2003 . Hyperspectral image data for mapping wetland vegetation . Wetlands , 23 : 436 – 448 .
- Hristozov , D. , Penchev , P. and Andreev , G. 2001 . Searching in UV/VIS library . Scientific Works , 30 : 63 – 66 .
- Javidi , B. and Tang , Q. 1992 . Binary encoding of gray-scale nonlinearly transformed filters for optical pattern recognition . Applied Optics , 31 : 4034 – 4041 .
- Keshava , N. 2004 . Distance metrics and band selection in hyperspectral processing with applications to material identification and spectral libraries . IEEE Transactions on Geoscience and Remote Sensing , 42 : 1552 – 1565 .
- Kokaly, R.F., Clark, R.N., and Livo, K.E., 1997. Mapping the biology and mineralogy of Yellowstone National Park using imaging spectroscopy. In: Summaries of the 6th annual JPL airborne geoscience workshop, JPL Publication, vol. 97–21. Pasadena, CA: Jet Propulsion Laboratory, 244–245
- Kolodner , M. A. 2008 . Automated target detection system for hyperspectral imaging sensors . Applied Optics , 47 : F61 – F70 .
- Kruse , F. 1993 . The spectral image processing system (SIPS) – interactive visualization and analysis of imaging spectrometer data . Remote Sensing of Environment , 44 : 145 – 163 .
- Lam , H. and Aebersold , R. 2010 . Spectral library searching for peptide identification via tandem MS . Methods in Molecular Biology , 604 : 95 – 103 .
- Lederberg, J., 1964. Computation of molecular formulas for mass spectrometry. San Francisco, CA: Holden-Day
- Li , C. -h . and Wu , Z. -l. 2004 . Spectral energy minimization for semi-supervised learning . Lecture Notes in Computer Science , 3056 : 13 – 21 .
- Lin , G. C. 2010 . Automated classification of multispectral MR images using unsupervised constrained energy minimization based on fuzzy logic . Magnetic Resonance Imaging , 28 : 721 – 738 .
- Loudermilk , J. B. 2008 . Novel search algorithms for a mid-infrared spectral library of cotton contaminants . Applied Spectroscopy , 62 : 661 – 670 .
- Mazer , A. S. 1988 . Image processing software for imaging spectrometry analysis . Remote Sensing of the Environment , 24 : 201 – 210 .
- McLafferty , F. W. and Stauffer , D. B. 1985 . Retrieval and interpretative computer programs for mass spectrometry . Journal of Chemical Information and Computer Sciences , 25 : 245 – 252 .
- McLafferty , F. W. 1983 . Matching mass spectra against a large data base during GC/MS analysis . International Journal of Mass Spectrometry and Ion Physics , 47 : 317 – 319 .
- McSween, H.Y., Hamilton, V.E., and Hapke, B.W., 2003. Mineralogy of Martian atmospheric dust inferred from spectral deconvolution of MGS TES and Mariner 9 IRIS data. In: Proceedings of lunar and planetary science conference XXXIV, Abstract # 1233
- Moody, J., et al., 2001. Data filtering for automatic classification of rocks from reflectance spectra. In: Proceedings of the 7th ACM SIGKDD conference on knowledge discovery and data mining, 26–29 August, San Francisco, CA. New York: ACM Press, 347–352
- Mun , K. , Venkataraghavan , R. and McLafferty , F. W. 1981 . Computer prediction of molecular weights from mass spectra . Analytical Chemistry , 53 : 179 – 182 .
- Murai , H. and Omatu , S. 1997 . Remote sensing image analysis using a neural network and knowledge-based processing . International Journal of Remote Sensing , 18 : 811 – 828 .
- Nidamanuri , R. R. and Zbell , B. 2010 . A method for selecting optimal spectral resolution and comparison metric for material mapping by spectral library search . Progress in Physical Geography , 34 : 47 – 58 .
- Nidamanuri , R. R. , Ghosh , S. K. and Garg , P. K. 2007 . Development of cultivar based crop spectral library and classification of crop cultivars using hyperspectral data . Precision Agriculture , 8 : 173 – 185 .
- Paola, J.D. and Schowengerdt, R.A., 1995. Searching for patterns in remote sensing image databases using neural networks. In: IGARSS '95 geoscience and remote sensing symposium, quantitative remote sensing for science and applications, vol. 1
- Park , K. S. 2008 . Real-time target detection architecture based on reduced complexity hyperspectral processing . EURASIP Journal on Advances in Signal Processing , , 2008, Article ID 438051. doi: 10.1155/2008/438051
- Plaza , J. 2009 . On the use of small training sets for neural network-based characterization of mixed pixels in remotely sensed hyperspectral images . Pattern Recognition , 42 : 3032 – 3045 .
- Porter, W.M. and Enmark, H.T., 1987. System overview of the airborne visible/infrared imaging spectrometer (AVIRIS). In: G. Vane, ed. Imaging spectroscopy II, vol. 834. Bellingham, WA: SPIE, 22–31
- Price , J. C. 1994 . How unique are spectral signatures? . Remote Sensing of Environment , 49 : 181 – 186 .
- Ramsey , J. 2002 . Automated remote sensing with near infrared reflectance spectra: carbonate recognition . Data Mining and Knowledge Discovery , 6 : 277 – 293 .
- Rasmussen , G. T. and Isenhour , T. L. 1979 . The evaluation of mass spectral search algorithms . Journal of Chemical Information and Computer Sciences , 19 : 179 – 186 .
- Ratches , J. A. 1997 . Aided and automatic target recognition based upon sensory inputs from image forming systems . IEEE Transactions on Pattern Analysis and Machine Intelligence , 19 : 1004 – 1019 .
- Rivard , B. 2008 . Continuous wavelets for the improved use of spectral libraries and hyperspectral data . Remote Sensing of Environment , 112 : 2850 – 2862 .
- Robila, S.A., 2005. An investigation of spectral metrics in hyperspectral image preprocessing for classification. In: Proceedings of the ASPRS annual conference, 7–11 March, Baltimore, MD
- Robila , S. A. and Gershman , A. 2005 . Spectral matching accuracy in processing hyperspectral data . IEEE International Symposium on Signals, Circuits and Systems, ISSCS 2005 , 1 : 163 – 166 .
- Ronnie , P. H. 2009 . Detection of illicit substances in fingerprints by infrared spectral imaging . Analytical and Bioanalytical Chemistry , 394 : 2039 – 2048 .
- Scott , D. R. 1988 . Effects of binary encoding on pattern recognition and library matching of spectral data . Chemometrics and Intelligent Laboratory Systems , 4 : 47 – 63 .
- Settle , J. 2002 . On constrained energy minimization and the partial unmixing of multispectral images . IEEE Transactions on Geoscience and Remote Sensing , 40 : 718 – 721 .
- Spirtes , P. , Glymour , C. and Scheines , R. 2000 . Causation, prediction and search, lecture notes in statistics , 2nd , New York : MIT Press and Springer Verlag .
- Swayze, G.A. and Clark, R.N., 1995. Spectral identification of minerals using imaging spectrometry data: evaluating the effects of signal to noise and spectral resolution using the Tricorder algorithm. In: Summaries of the fifth annual JPL airborne earth science workshop. JPL Publication, vol. 95–1
- Swayze , G. A. 2009 . Mapping potentially asbestos-bearing rocks using imaging spectroscopy . Geology , 37 : 763 – 766 .
- Tong , C. S. and Cheng , K. C. 1999 . Mass spectral search method using the neural network approach . Chemometrics and Intelligent Laboratory Systems , 49 : 135 – 150 .
- Van der Meer , F. 2006 . The effectiveness of spectral similarity measures for the analysis of hyperspectral imagery . International Journal of Applied Earth Observation and Geoinformation , 8 : 3 – 17 .
- Van der Meer , F. and Bakker , W. 1997 . Cross correlogram spectral matching (CCSM): application to surface mineralogical mapping using AVIRIS data from Cuprite, Nevada . Remote Sensing of Environment , 61 : 371 – 382 .
- Van der Meer , F. , De Jong , S. and Bakker , W. 2001 . “ Imaging spectrometry: basic analytical techniques ” . In Imaging spectrometry: basic principles and prospective applications , Edited by: van der Meer , F. and de Jong , S. 17 – 61 . Dordrecht, The Netherlands : Kluwer Academic .
- Wang , Q. 2009 . A new target detection algorithm: spectra sort encoding . International Journal of Remote Sensing , 30 : 2297 – 2307 .
- Warner , T. A. , Nellis , M. D. and Foody , G. M. 2009 . The Sage handbook of remote sensing , Thousand Oaks, CA : Sage .
- Wilkins , C. L. 1983 . Hyphenated techniques for analysis of complex organic mixtures . Science , 21 : 291 – 296 .
- Xie, H., et al., 2009. Object-based binary encoding algorithm – an integration of hyperspectral data and DSM. In: 2009 urban remote sensing joint event, 20–22 May, Shanghai, China. Piscataway, NJ: IEEE, 1–6
- Zomer , R. J. , Trabucco , A. and Ustin , S. L. 2009 . Building spectral libraries for wetlands land cover classification and hyperspectral remote sensing . Journal of Environmental Management , 90 : 2170 – 2177 .