Books on the topic 'Multispectral'

Zhang, David, Zhenhua Guo, and Yazhuo Gong. Multispectral Biometrics. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-22485-5.

Ünsalan, Cem, and Kim L. Boyer. Multispectral Satellite Image Understanding. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-667-2.

F, Belokon William, Spectral Imagery Training Center (Logicon Geodynamics), and Logicon Geodynamics Inc, eds. Multispectral imagery reference guide. Fairfax, VA: LOGICON Geodynamics, 1997.

He, Xin, Paul Beckett, and Ranjith R. Unnithan. Multispectral Image Sensors Using Metasurfaces. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-7515-7.

m, Daniel Nystro. Colorimetric and multispectral image acquisition. Norrko ping: Digital Media Division, Dept. of Science and Technology, Campus Norrko ping, Linko ping University, 2006.

K, Lucchitta Baerbel, ed. Multispectral Landsat images of Antarctica. Washington: U.S. G.P.O., 1987.

Morresi, Fabio. New light on the Deposition by Caravaggio. Città del Vaticano: Edizioni Musei Vaticani, 2016.

Bunkō gazō nyūmon. Tōkyō-to Shinjuku-ku: Asakura Shoten, 2013.

J, Shen, Wang Patrick S-P, Zhang T, Society of Photo-optical Instrumentation Engineers., and International Symposium on Multispectral Image Processing (1998 : Wuhan, China), eds. Multispectral image processing and pattern recognition. Singapore: World Scientific, 2001.

Landgrebe, David A. Signal Theory Methods in Multispectral Remote Sensing. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2003. http://dx.doi.org/10.1002/0471723800.

Landgrebe, David A. Signal Theory Methods in Multispectral Remote Sensing. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2003. http://dx.doi.org/10.1002/0471723800.

Kaarna, Arto. Multispectral image compression using the wavelet transform. Lappeenranta, Finland: Lappeenranta University of Technology, 2000.

Signal theory methods in multispectral remote sensing. Hoboken, N.J: Wiley, 2003.

U.S. Army Aberdeen Test Center, ed. Multispectral signature capability: Putting the pieces together--. [Aberdeen Proving Ground, Md.]: U.S. Army Aberdeen Test Center, 1995.

Landgrebe, D. A. Signal Theory Methods in Multispectral Remote Sensing. New York: John Wiley & Sons, Ltd., 2005.

Center, Ames Research, ed. Research and development of an airborne multispectral scanner to measure fire, terrestrial, and atmospheric characteristics (50 channel): Final report. Moffett Field, CA: National Aeronautics & Space Administration, Ames Research Center, 1991.

Hans, Grahn, and Geladi Paul, eds. Techniques and applications of hyperspectral image analysis. Chichester, West Sussex, England: J. Wiley, 2007.

K, Udupa Jayaram, Hua zhong gong xue yuan, National Laboratory for Multi-spectral Information Processing Technologies, and SPIE (Society), eds. MIPPR 2009: Multispectral image acquisition and processing : 30 October-1 November 2009, Yichang, China. Bellingham, Wash: SPIE, 2009.

Silvennoinen, Raimo. The optical parametrization of an aerial multispectral camera. Joensuu: University of Joensuu, 1989.

Rand, Robert S. Multispectral image maps from Landsat thematic mapper data. Fort Belvoir, Va: U.S. Army Corps of Engineers, Engineer Topographic Laboratories, 1991.

A, Landgrebe D., and United States. National Aeronautics and Space Administration., eds. Spectral feature design in high dimensional multispectral data. West Lafayette, Ind: School of Electrical Engineering, Purdue University, 1988.

Multispectral image analysis using the object-oriented paradigm. Boca Raton: CRC Press/Taylor & Francis, 2007.

Mineart, Gary M. Multispectral satellite analysis of marine stratocumulus cloud microphysics. Monterey, Calif: Naval Postgraduate School, 1988.

Navulur, Kumar. Multispectral image analysis using the object-oriented paradigm. Boca Raton, FL: Taylor & Francis, 2006.

1969-, Zhang Bing, and Zheng Lanfen, eds. Gao guang pu yao gan: Yuan li, ji shu yu ying yong = Hyperspectral remote sensing. Beijing Shi: Gao deng jiao yu chu ban she, 2006.

1963-, Arora M. K., ed. Advanced image processing techniques for remotely sensed hyperspectral data. Berlin: Springer, 2004.

Limp, W. Fredrick. The use of multispectral digital imagery in archeological investigations. 2nd ed. Fayetteville, Ark: Arkansas Archeological Survey, 1990.

A, Landgrebe D., and United States. National Aeronautics and Space Administration., eds. Design of partially supervised classifiers for multispectral image data. West Lafayette, Ind: School of Electrical Engineering, Purdue University, 1993.

A, Landgrebe D., and United States. National Aeronautics and Space Administration., eds. On-line object feature extraction for multispectral scene representation. West Lafayette, Ind: School of Electrical Engineering, Purdue University ; [Washington, DC, 1988.

A, Landgrebe D., and United States. National Aeronautics and Space Administration., eds. On-line object feature extraction for multispectral scene representation. West Lafayette, Ind: School of Electrical Engineering, Purdue University ; [Washington, DC, 1988.

Teadt, Troy L. Studies in satellite multispectral determination of boundary layer depth. Monterey, Calif: Naval Postgraduate School, 1996.

Dykes, James D. Multispectral analysis of nighttime low clouds over the ocean. Monterey, Calif: Naval Postgraduate School, 1991.

Burgess, Diane E. Multispectral Imagery: An essential tool for today's Naval operations. Monterey, Calif: Naval Postgraduate School, 1992.

Bui, Thanh Hai. Group-theoretical structure in multispectral color and image databases. Linköping: Univ., 2005.

Hanqing, Lu, Zhang T, Zhongguo ke xue yuan. Institute of Automation. National Laboratory of Pattern Recognition., Hua zhong gong xue yuan., Zhongguo ke xue yuan, Guo jia zi ran ke xue ji jin wei yuan hui (China), and Society of Photo-optical Instrumentation Engineers., eds. Multispectral image processing and pattern recognition: Third International Symposium on Multispectral Image Processing and Pattern Recognition : 20-22 October, 2003, Beijing, China. Bellingham, Wash: SPIE, 2003.

Rand, Robert S. A hybrid methodology for detecting cartographically significant features using Landsat TM imagery. Fort Belvoir, Va: U.S. Army Corps of Engineers, Engineer Topographic Laboratories, 1991.

S, Eagleson Peter, and United States. National Aeronautics and Space Administration., eds. Physically-based parameterization of spatially variable soil and vegetation using satellite multispectral data. Cambridge, Mass: Ralph M. Parsons Laboratory, Hydrology and Water Resource Systems, Dept. of Civil Engineering, School of Engineering, Massachusetts Institute of Technology, 1990.

1930-, Toselli F., Bodechtel Johann, and Commission of European Communities. Joint Research Centre. Ispra Establishment., eds. Imaging spectroscopy: Fundamentals and prospective applications. Dordrecht: Kluwer Academic Publishers, 1992.

S, Chavez Pat, Marino Carlo M, Schowengerdt Robert A, Society of Photo-optical Instrumentation Engineers., and Commission of the European Communities. Directorate-General for Science, Research, and Development., eds. Recent advances in remote sensing and hyperspectral remote sensing: 27-29 September 1994, Rome, Italy. Bellingham, Wash., USA: SPIE, 1994.

S, Eagleson Peter, and United States. National Aeronautics and Space Administration., eds. Physically-based parameterization of spatially variable soil and vegetation using satellite multispectral data. Cambridge, Mass: Ralph M. Parsons Laboratory, Hydrology and Water Resource Systems, Dept. of Civil Engineering, School of Engineering, Massachusetts Institute of Technology, 1990.

D, Guyenne T., and European Space Agency, eds. Imaging spectrometry for land applications: Proceedings of an ESA workshop held at ESRIN, Frascati, 19-21 April 1988. Paris, France: European Space Agency, 1988.

Walsh, David J. Multispectral NOAA Marine Atmospheric Boundary Layer (MABL) estimates during VOCAR. Monterey, Calif: Naval Postgraduate School, 1994.

United States. National Aeronautics and Space Administration., ed. Development of a portable multispectral thermal infrared camera: Final report. [Washington, DC: National Aeronautics and Space Administration, 1991.

Moropoulou, Antonia, Manolis Korres, Andreas Georgopoulos, Constantine Spyrakos, and Charalambos Mouzakis, eds. Transdisciplinary Multispectral Modeling and Cooperation for the Preservation of Cultural Heritage. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12957-6.

Moropoulou, Antonia, Manolis Korres, Andreas Georgopoulos, Constantine Spyrakos, and Charalambos Mouzakis, eds. Transdisciplinary Multispectral Modeling and Cooperation for the Preservation of Cultural Heritage. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12960-6.

Moropoulou, Antonia, Andreas Georgopoulos, Anastasios Doulamis, Marinos Ioannides, and Alfredo Ronchi, eds. Trandisciplinary Multispectral Modelling and Cooperation for the Preservation of Cultural Heritage. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-20253-7.

Evan, Iverson A., and Society of Photo-optical Instrumentation Engineers., eds. Algorithms for multispectral and hyperspectral imagery: 5 April 1994, Orlando, Florida. Bellingham, Wash., USA: SPIE, 1994.

Savannah River Site (Westinghouse Savannah River Company) and Savannah River Technology Center (U.S.), eds. Ground truth measurements plan for the Multispectral Thermal Imager (MTI) satellite. Aiken, SC: Savannah River Site, 1999.

Sridhar, Srinivasan, and United States. National Aeronautics and Space Administration., eds. mist: Multispectral Image Similarity Transformation : contract number: NAS5-32357, final report. [Riverdale, MD]: LNK, 1997.

Lin, Li, He Guoqi, and United States. National Aeronautics and Space Administration., eds. Nonlinear spectral mixture modeling of lunar multispectral: Implications for lateral transport. [Washington, DC: National Aeronautics and Space Administration, 1997.