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Books on the topic 'Images de télédétection – Classification'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 May 2024

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1

Létourneau, Guy. Description des données brutes de télédétection. Centre Saint-Laurent, Conservation de l'environnement, Environnement Canada, 1996.

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2

M, Benning Vivien, and Ching Neville P, eds. Classification of remotely sensed images. A. Hilger, 1987.

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3

Minvielle, Erwann. L' analyse statistique et spatiale: Statistiques, cartographie, télédétection, SIG. Éditions du Temps, 2003.

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4

Jenicka, S. Land Cover Classification of Remotely Sensed Images. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66595-1.

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5

Lalonde, Sophie. Milieux humides du lac Saint-Pierre: Évolution temporelle. Centre Saint-Laurent, Conservation de l'environnement, Environnement Canada, 1996.

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6

Yin, Xiao-Xia, Sillas Hadjiloucas, and Yanchun Zhang. Pattern Classification of Medical Images: Computer Aided Diagnosis. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57027-3.

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7

Létourneau, Guy. Cartographie des marais, marécages et herbiers aquatiques le long du Saint-Laurent par télédétection aéroportée. Centre Saint-Laurent, Conservation de l'environnement, Environnement Canada, 1996.

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8

Létourneau, Guy. Marais, marécages et herbiers le long du Saint-Laurent. Centre Saint-Laurent, Conservation de l'environnement, Environnement Canada, 1996.

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9

Lehmann, Thomas Martin. The IRMA code for unique classification of medical images. Universitätsbibliothek der RWTH Aachen, 2016.

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10

Létourneau, Guy. Hydrodynamique et dynamique sédimentaire du lac Saint-François. Centre Saint-Laurent, Conservation de l'environnement, Environnement Canada, 1996.

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11

Létourneau, Guy. Milieux humides du Saguenay, de l'estuaire et du golfe du Saint-Laurent et de la baie des Chaleurs. Centre Saint-Laurent, Conservation de l'environnement, Environnement Canada, 1996.

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12

M, Mather Paul, ed. Classification methods for remotely sensed data. 2nd ed. CRC Press, 2009.

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13

Zharkova, Valentina, and Lakhmi C. Jain, eds. Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-47518-7.

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14

A guide to remote sensing: Interpreting images of the earth. Oxford University Press, 1990.

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15

Mather, Paul M. Computer processing of remotely-sensed images: An introduction. Wiley, 1987.

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16

Mather, Paul M. Computer Processing of Remotely-Sensed Images. John Wiley & Sons, Ltd., 2005.

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17

Ann, Frazier, and Geological Survey (U.S.). National Mapping Division, eds. Land cover classification from SPOT multispectral and panchromatic images using neural network classification of fuzzy clustered spectral and textural features. U.S. Dept. of the Interior, U.S. Geological Survey, National Mapping Division, 1995.

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18

Lemeshewsky, George. Land cover classification from SPOT multispectral and panchromatic images using neural network classification of fuzzy clustered spectral and textural features. U.S. Geological Survey, 1995.

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19

Linares-Herrera, Pedro. Texture analysis and classification on the characterization of ultrasonic images of the placenta. The Author], 2004.

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20

Mather, Paul M. Computer processing of remotely-sensed images: An Introduction. Wiley, 1995.

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21

Computer processing of remotely sensed images: An introduction. 3rd ed. John Wiley & Sons, 2004.

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22

Computer processing of remotely-sensed images: An introduction. 2nd ed. Wiley, 1999.

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23

Saaremets, Aili. The influence of television on body classification: Does personality affect people's vulnerability to passive images? Laurentian University, Department of Psychology, 2000.

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24

Healey, Anthony J. Sonar signal acquisition and processing for identification and classification of ship hull fouling. Naval Postgraduate School, 1993.

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25

A, Borstad Gary, and Canada. Department ofFisheries and Oceans., eds. Analysis of test and flight data from the Fluorescence Line Imager. Fisheries and Oceans, Scientific Information and Publications Branch, 1985.

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26

A, Borstad G., ed. Analysis of test and flight data from the fluorescence line imager. Dept. of Fisheries and Oceans, 1985.

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27

Po, Ming Jack. Multi-scale Representations for Classification of Protein Crystal Images and Multi-Modal Registration of the Lung. [publisher not identified], 2015.

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28

Bevington, John Scott. The development of an automated decision support system to aid land use classification of remotely sensed images. The Author], 2004.

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29

A hierarchical object-based approach for urban land-use classification from remote sensing data. ITC, 2003.

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30

Abkar, Ali Akbar. Likelihood-based segmentation and classification of remotely sensed images: A Bayesian optimization approach for combining RS and GIS. International Institute for Aerospace Survey and Earth Sciences, 1999.

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31

Hourihane, Colum. Subject classification for visual collections: An inventory of some of the principal systems applied to content description in images. Visual Resources Association, 1999.

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32

MacIntyre, Duncan. Images of Germany: A theory-based approach to the classification, analysis and critique of British attitudes towards Germany, 1890-1940. University of Glasgow, 1990.

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33

H, Mohammed Gina, and Ontario Forest Research Institute, eds. Bioindicators of forest sustainability: Development of a forest condition rating system for Ontario : project strategy. Ontario Forest Research Institute, 1997.

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34

International Conference on GeoInformatics (16th 2008 Guangzhou, China). Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of remote sensing images : 28-29 June 2008, Guangzhou, China. Edited by Liu Lin 1965-, Zhongshan da xue (Guangzhou, China), University of Cincinnati, et al. SPIE, 2008.

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35

Saintyves, P. Les contes de Perrault: Et les récits parallèles (leurs origines) ; En marge de la légende dorée : songes, miracles et survivances ; Les reliques et les images légendaires. R. Laffont, 1987.

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36

Processing of remote sensing data. Balkema, 2003.

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37

Girard, Michel-Claude. Processing of remote sensing data. Balkema, 2001.

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38

Images in libraries, museums, and archives: Description and intellectual access : papers from PACSCL (The Philadelphia Area Consortium of Special Collections Libraries), Summer Seminar, 1993. Gordon and Breach, 1995.

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39

Manfredi, Claudia, ed. Models and Analysis of Vocal Emissions for Biomedical Applications. Firenze University Press, 2013. http://dx.doi.org/10.36253/978-88-6655-470-7.

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Abstract:

The MAVEBA Workshop proceedings, held on a biannual basis, collect the scientific papers presented both as oral and poster contributions, during the conference. The main subjects are: development of theoretical and mechanical models as an aid to the study of main phonatory dysfunctions, as well as the biomedical engineering methods for the analysis of voice signals and images, as a support to clinical diagnosis and classification of vocal pathologies.

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40

Canty, Morton J. Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for ENVI/IDL. CRC, 2006.

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41

Canty, Morton J. Image Analysis, Classification, and Change Detection in Remote Sensing: With Algorithms for ENVI/IDL, Second Edition. Taylor & Francis Group, 2010.

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42

Canty, Morton J. Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for ENVI/IDL and Python, Third Edition. Taylor & Francis Group, 2014.

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43

Hyperspectral Indices and Image Classifications for Agriculture and Vegetation. Taylor & Francis Group, 2018.

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44

Lyon, John G., Alfredo Huete, and Prasad S. Thenkabail. Hyperspectral Indices and Image Classifications for Agriculture and Vegetation. Taylor & Francis Group, 2018.

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45

Lyon, John G., Alfredo Huete, and Prasad S. Thenkabail. Hyperspectral Indices and Image Classifications for Agriculture and Vegetation. Taylor & Francis Group, 2018.

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46

Lyon, John G., Alfredo Huete, and Prasad S. Thenkabail. Hyperspectral Indices and Image Classifications for Agriculture and Vegetation. Taylor & Francis Group, 2018.

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47

Li, Ying, and Yu Wei. Classification of Hyperspectral Remote Sensing Images. Excelic Press LLC, 2018.

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48

Hyperspectral Indices and Image Classifications for Agriculture and Vegetation: Hyperspectral Remote Sensing of Vegetation. Taylor & Francis Group, 2023.

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49

Emotion Classification in Images Using Amazon's Rekognition API. SAGE Publications, Ltd., 2022. http://dx.doi.org/10.4135/9781529604412.

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50

Hajiloucas, Sillas, Yanchun Zhang, and Xiao-Xia Yin. Pattern Classification of Medical Images: Computer Aided Diagnosis. Springer International Publishing AG, 2017.

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