New effective spectral matching measures for hyperspectral data analysis

References

• Adep, R. N., A. P. Vijayan, A. Shetty, and H. Ramesh. 2016. “Performance Evaluation of Hyperspectral Classification Algorithms on AVIRIS Mineral Data.” Perspectives in Science 8: 722–726. doi:10.1016/j.pisc.2016.06.070.
   Google Scholar
• Ardjmand, M., M. Mirzajanzadeh, and F. Zabihi. 2014. “Measurement and Correlation of Solid Drugs Solubility in Supercritical Systems.” Chinese Journal of Chemical Engineering 22 (5): 549–558. doi:10.1016/S1004-9541(14)60073-2.
   Web of Science ®Google Scholar
• Ayeldeen, H., O. Shaker, O. Hegazy, and A. E. Hassanien. 2015. “Distance Similarity as a CBR Technique for Early Detection of Breast Cancer: An Egyptian Case Study.” In Information Systems Design and Intelligent Applications, India, 449–456. Springer.
   Google Scholar
• Baum, K., E. Schreyer, S. Totterman, J. Farber, J. Tamez-Peña, and P. González (2010). Application of the Dice Similarity Coefficient (DSC) for Failure Detection of a Fully-automated Atlas Based Knee Mri Segmentation Method. ISMRM Annual Meeting,
   Google Scholar
• Ben-Dor, E., K. Patkin, A. Banin, and A. Karnieli. 2002. “Mapping of Several Soil Properties Using DAIS-7915 Hyperspectral Scanner Data-a Case Study over Clayey Soils in Israel.” International Journal of Remote Sensing 23 (6): 1043–1062. doi:10.1080/01431160010006962.
   Web of Science ®Google Scholar
• Bioucas-Dias, J. M., A. Plaza, G. Camps-Valls, P. Scheunders, N. Nasrabadi, and J. Chanussot (2013). Hyperspectral Remote Sensing Data Analysis and Future Challenges. IEEE Geoscience and remote sensing magazine, 1( 2), 6–36.
   Google Scholar
• Bishop, C. A., J. G. Liu, and P. J. Mason. 2011. “Hyperspectral Remote Sensing for Mineral Exploration in Pulang, Yunnan Province, China.” International Journal of Remote Sensing 32 (9): 2409–2426. doi:10.1080/01431161003698336.
   Web of Science ®Google Scholar
• Cartwright, D., and M. Field (1978). A Refinement of the Arithmetic Mean-geometric Mean Inequality. Proceedings of the American Mathematical Society, US, 36–38.
   Google Scholar
• Cha, S.-H. 2007. “Comprehensive Survey on Distance/similarity Measures between Probability Density Functions.” City 1 (2): 1.
   Google Scholar
• Chang, C.-I. (1999). Spectral Information Divergence for Hyperspectral Image Analysis. IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS’99 (Cat. No. 99CH36293), Germany.
   Google Scholar
• Chang, C.-I. 2000. “An Information-theoretic Approach to Spectral Variability, Similarity, and Discrimination for Hyperspectral Image Analysis.” IEEE Transactions on Information Theory 46 (5): 1927–1932. doi:10.1109/18.857802.
   Web of Science ®Google Scholar
• Chang, C.-I. 2003. Hyperspectral Imaging: Techniques for Spectral Detection and Classification. Vol. 1. US: Springer Science & Business Media.
   Google Scholar
• Chauhan, P., P. Kaur, N. Srivastava, R. K. Sinha, N. Jain, and S. Murty. 2015. “Hyperspectral Remote Sensing of Planetary Surfaces: An Insight into Composition of Inner Planets and Small Bodies in the Solar System.” Current Science 108 (5), 915–924.
   Web of Science ®Google Scholar
• Clark, R. N. 1999. “Spectroscopy of Rocks and Minerals, and Principles of Spectroscopy.” Manual of Remote Sensing 3 (3–58): 2.
   Google Scholar
• Clark, R. N., G. A. Swayze, and A. Gallagher. 1993. “Mapping Minerals with Imaging Spectroscopy.” US Geological Survey, Office of Mineral Resources Bulletin 2039 (141–150): 69.
   Google Scholar
• Clark, R. N., G. A. Swayze, K. E. Livo, R. F. Kokaly, S. J. Sutley, J. B. Dalton, R. R. McDougal, and C. A. Gent. 2003. “Imaging Spectroscopy: Earth and Planetary Remote Sensing with the USGS Tetracorder and Expert Systems.” Journal of Geophysical Research: Planets 108 (E12). doi:10.1029/2002JE001847.
   PubMed Web of Science ®Google Scholar
• Clark, R. N., G. A. Swayze, R. A. Wise, K. E. Livo, T. M. Hoefen, R. F. Kokaly, and S. J. Sutley (2007). USGS Digital Spectral Library Splib06a (2327–638X).
   Google Scholar
• Cloutis, E. A. 1996. “Review Article Hyperspectral Geological Remote Sensing: Evaluation of Analytical Techniques.” International Journal of Remote Sensing 17 (12): 2215–2242. doi:10.1080/01431169608948770.
   Web of Science ®Google Scholar
• Colarusso, P., L. H. Kidder, I. W. Levin, J. C. Fraser, J. F. Arens, and E. N. Lewis. 1998. “Infrared Spectroscopic Imaging: From Planetary to Cellular Systems.” Applied Spectroscopy 52 (3): 106A–120A. doi:10.1366/0003702981943545.
   Web of Science ®Google Scholar
• Dice, L. R. 1945. “Measures of the Amount of Ecologic Association between Species.” Ecology 26 (3): 297–302. doi:10.2307/1932409.
   Web of Science ®Google Scholar
• Ding, J., X. Li, and L. Huang. 2015. “A Novel Method for Spectral Similarity Measure by Fusing Shape and Amplitude Features.” Journal of Engineering Science & Technology Review 8 (5): 172–179. doi:10.25103/jestr.085.22.
   Google Scholar
• Drost, H.-G. 2018. “Philentropy: Information Theory and Distance Quantification with R.” Journal of Open Source Software 3 (26): 765. doi:10.21105/joss.00765.
   Google Scholar
• Du, Y., C.-I. Chang, H. Ren, -C.-C. Chang, J. O. Jensen, and F. M. D’Amico. 2004. “New Hyperspectral Discrimination Measure for Spectral Characterization.” Optical Engineering 43 (8): 1777–1787. doi:10.1117/1.1766301.
   Web of Science ®Google Scholar
• Farifteh, J., W. Nieuwenhuis, and E. García-Meléndez. 2013. “Mapping Spatial Variations of Iron Oxide By-product Minerals from EO-1 Hyperion.” International Journal of Remote Sensing 34 (2): 682–699. doi:10.1080/01431161.2012.715776.
   Web of Science ®Google Scholar
• Feng, Y.-Z., and D.-W. Sun. 2012. “Application of Hyperspectral Imaging in Food Safety Inspection and Control: A Review.” Critical Reviews in Food Science and Nutrition 52 (11): 1039–1058. doi:10.1080/10408398.2011.651542.
   PubMed Web of Science ®Google Scholar
• Friedrich, G., M. Helmert, and F. Wotawa (2016). KI 2016: Advances in Artificial Intelligence: 39th Annual German Conference on AI, Klagenfurt, Austria, September 26- 30,2016, Proceedings 9904. Springer.
   Google Scholar
• Gao, B.-C., M. J. Montes, C. O. Davis, and A. F. Goetz. 2009. “Atmospheric Correction Algorithms for Hyperspectral Remote Sensing Data of Land and Ocean.” Remote Sensing of Environment 113: S17–S24. doi:10.1016/j.rse.2007.12.015.
   Web of Science ®Google Scholar
• Goetz, A. F. 2009. “Three Decades of Hyperspectral Remote Sensing of the Earth: A Personal View.” Remote Sensing of Environment 113: S5–S16. doi:10.1016/j.rse.2007.12.014.
   Web of Science ®Google Scholar
• Goetz, A. F., G. Vane, J. E. Solomon, and B. N. Rock. 1985. “Imaging Spectrometry for Earth Remote Sensing.” science 228 (4704): 1147–1153. doi:10.1126/science.228.4704.1147.
   PubMed Web of Science ®Google Scholar
• Govender, M., K. Chetty, and H. Bulcock. 2007. “A Review of Hyperspectral Remote Sensing and Its Application in Vegetation and Water Resource Studies.” Water Sa 33 (2): 145-151.
   Web of Science ®Google Scholar
• Gower, J. C. 1985. “Properties of Euclidean and non-Euclidean Distance Matrices.” Linear Algebra and Its Applications 67: 81–97. doi:10.1016/0024-3795(85)90187-9.
   Web of Science ®Google Scholar
• Hazarika, P., B. Mishra, and K. L. Pruseth. 2015. “Diverse Tourmaline Compositions from Orogenic Gold Deposits in the Hutti-Maski Greenstone Belt, India: Implications for Sources of Ore-forming Fluids.” Economic Geology 110 (2): 337–353. doi:10.2113/econgeo.110.2.337.
   Web of Science ®Google Scholar
• Homayouni, S., and M. Roux (2004). Hyperspectral Image Analysis for Material Mapping Using Spectral Matching. ISPRS Congress Proceedings, Turkey.
   Google Scholar
• Hubálek, Z., I. Pow, H. Reid, and M. Hussain. 1995. “Antigenic Similarity of Central European Encephalitis and Louping-ill Viruses.” Acta Virologica 39 (5–6): 251–256.
   PubMed Web of Science ®Google Scholar
• Kamps, O., R. Hewson, F. van Ruitenbeek, and F. Van der Meer. 2020. “Defining Surface Types of Mars Using Global CRISM Summary Product Maps.” Journal of Geophysical Research: Planets 125 (8): e2019JE006337.
   Web of Science ®Google Scholar
• 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 (7): 1552–1565. doi:10.1109/TGRS.2004.830549.
   Web of Science ®Google Scholar
• Kokaly, R., R. Clark, G. Swayze, K. Livo, T. Hoefen, N. Pearson, R. Wise, W. Benzel, H. Lowers, and R. Driscoll. 2017.“Usgs Spectral Library Version 7 Data: Us Geological Survey Data Release.” United States Geological Survey (USGS): Reston. VA, USA. https://doi.org/10.3133/ds1035 doi:10.3133/ds1035.
   Google Scholar
• Kruse, F. A. (1998). Advances in Hyperspectral Remote Sensing for Geologic Mapping and Exploration. Proceedings 9th Australasian remote sensing conference, 1035 (61).
   Google Scholar
• Kruse, F. A., A. Lefkoff, J. Boardman, K. Heidebrecht, A. Shapiro, P. Barloon, and A. Goetz. (1993). The Spectral Image Processing System (Sips)‐interactive Visualization and Analysis of Imaging Spectrometer Data. AIP Conference Proceedings, US.
   Google Scholar
• Kumar, A., and K. Y. Zhang. 2018. “Advances in the Development of Shape Similarity Methods and Their Application in Drug Discovery.” Frontiers in Chemistry 6: 315. doi:10.3389/fchem.2018.00315.
   PubMed Web of Science ®Google Scholar
• Kumar, C., S. Chatterjee, and T. Oommen. 2020. “Mapping Hydrothermal Alteration Minerals Using High-resolution AVIRIS-NG Hyperspectral Data in the Hutti-Maski Gold Deposit Area, India.” International Journal of Remote Sensing 41 (2): 794–812. doi:10.1080/01431161.2019.1648906.
   Web of Science ®Google Scholar
• Kumar, C., A. Shetty, S. Raval, P. K. Champatiray, and R. Sharma. 2014. “Sub-pixel Mineral Mapping Using EO-1 Hyperion Hyperspectral Data.” The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 40 (8): 455. doi:10.5194/isprsarchives-XL-8-455-2014.
   Google Scholar
• Kumar, P., and A. Johnson. 2005. “On a Symmetric Divergence Measure and Information Inequalities.” Journal of Inequalities in Pure and Applied Mathematics 6 (3): 65.
   Google Scholar
• LaPara, T. M., C. H. Nakatsu, L. M. Pantea, and J. E. Alleman. 2002. “Stability of the Bacterial Communities Supported by a Seven-stage Biological Process Treating Pharmaceutical Wastewater as Revealed by PCR-DGGE.” Water Research 36 (3): 638–646. doi:10.1016/S0043-1354(01)00277-9.
   PubMed Web of Science ®Google Scholar
• Lu, G., and B. Fei. 2014. “Medical Hyperspectral Imaging: A Review.” Journal of Biomedical Optics 19 (1): 10901. doi:10.1117/1.JBO.19.1.010901.
   PubMed Web of Science ®Google Scholar
• McCune, B., J. B. Grace, and D. L. Urban. 2002. Analysis of Ecological Communities. Vol. 28. MjM software design Gleneden Beach, OR, US.
   Google Scholar
• Murguía, M., and J. L. Villaseñor (2003). Estimating the Effect of the Similarity Coefficient and the Cluster Algorithm on Biogeographic Classifications. Annales Botanici Fennici
   Google Scholar
• Naresh Kumar, M., M. Seshasai, K. Vara Prasad, V. Kamala, K. Ramana, R. Dwivedi, and P. Roy. 2011. “A New Hybrid Spectral Similarity Measure for Discrimination among Vigna Species.” International Journal of Remote Sensing 32 (14): 4041–4053. doi:10.1080/01431161.2010.484431.
   Web of Science ®Google Scholar
• Nidamanuri, R. R., and B. Zbell. 2011. “Use of Field Reflectance Data for Crop Mapping Using Airborne Hyperspectral Image.” ISPRS Journal of Photogrammetry and Remote Sensing 66 (5): 683–691. doi:10.1016/j.isprsjprs.2011.05.001.
   Web of Science ®Google Scholar
• Padma, S., and S. Sanjeevi. 2014a. “Jeffries Matusita-Spectral Angle Mapper (JM-SAM) Spectral Matching for Species Level Mapping at Bhitarkanika, Muthupet and Pichavaram Mangroves.” The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 40 (8): 1403. doi:10.5194/isprsarchives-XL-8-1403-2014.
   Google Scholar
• Padma, S., and S. Sanjeevi. 2014b. “Jeffries Matusita Based Mixed-measure for Improved Spectral Matching in Hyperspectral Image Analysis.” International Journal of Applied Earth Observation and Geoinformation 32: 138–151. doi:10.1016/j.jag.2014.04.001.
   Web of Science ®Google Scholar
• Richards, J. A., and J. Richards. 1999. Remote Sensing Digital Image Analysis. Vol. 3. Germany:Springer.
   Google Scholar
• Robila, S. A., and A. Gershman (2005). Spectral Matching Accuracy in Processing Hyperspectral Data. International Symposium on Signals, Circuits and Systems, 2005. ISSCS 2005, Romania.
   Google Scholar
• Sampat, M. P., Z. Wang, S. Gupta, A. C. Bovik, and M. K. Markey. (2009). Complex Wavelet Structural Similarity: A New Image Similarity Index. IEEE transactions on image processing, 18( 11), 2385–2401.
   Google Scholar
• Shanmugam, S., and P. SrinivasaPerumal. 2014. “Spectral Matching Approaches in Hyperspectral Image Processing.” International Journal of Remote Sensing 35 (24): 8217–8251. doi:10.1080/01431161.2014.980922.
   Web of Science ®Google Scholar
• Shanon, C. 1948. “A Mathematical Theory of Communication.” Bell System Technical Journal 27 (3): 379–623. doi:10.1002/j.1538-7305.1948.tb01338.x.
   Google Scholar
• Souza, D. M., I. A. Costa, and R. A. Nóbrega (2017). A Study of Distance/similarity Measurements in the Context of Signal Processing (Density Estimation). 2017 2nd International Symposium on Instrumentation Systems, Circuits and Transducers (INSCIT), Brazil.
   Google Scholar
• Thenkabail, P. S., and J. G. Lyon. 2016. Hyperspectral Remote Sensing of Vegetation. US: CRC press.
   Google Scholar
• Van der Meer, F. 2004. “Analysis of Spectral Absorption Features in Hyperspectral Imagery.” International Journal of Applied Earth Observation and Geoinformation 5 (1): 55–68. doi:10.1016/j.jag.2003.09.001.
   Google Scholar
• 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 (1): 3–17. doi:10.1016/j.jag.2005.06.001.
   Web of Science ®Google Scholar
• Van der Meer, F. D., H. M. Van der Werff, F. J. Van Ruitenbeek, C. A. Hecker, W. H. Bakker, M. F. Noomen, M. Van der Meijde, E. J. M. Carranza, J. B. De Smeth, and T. Woldai. 2012. “Multi-and Hyperspectral Geologic Remote Sensing: A Review.” International Journal of Applied Earth Observation and Geoinformation 14 (1): 112–128. doi:10.1016/j.jag.2011.08.002.
   Web of Science ®Google Scholar
• Vishnu, S., R. R. Nidamanuri, and R. Bremananth. 2013. “Spectral Material Mapping Using Hyperspectral Imagery: A Review of Spectral Matching and Library Search Methods.” Geocarto International 28 (2): 171–190. doi:10.1080/10106049.2012.665498.
   Web of Science ®Google Scholar
• Wang, S., F. Yan, Y. Zhou, L. Zhu, L. Wang, and Y. Jiao (2005). Water Quality Monitoring Using Hyperspectral Remote Sensing Data in Taihu Lake China. Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS’05, South Korea.
   Google Scholar
• Zhang, X., and P. Li. 2014. “Lithological Mapping from Hyperspectral Data by Improved Use of Spectral Angle Mapper.” International Journal of Applied Earth Observation and Geoinformation 31: 95–109. doi:10.1016/j.jag.2014.03.007.
   Web of Science ®Google Scholar