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Relevant bibliographies by topics / Remote sensing Remote sensing Multispectral photography Image processing / Dissertations / Theses

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Dissertations / Theses on the topic 'Remote sensing Remote sensing Multispectral photography Image processing'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Consult the top 19 dissertations / theses for your research on the topic 'Remote sensing Remote sensing Multispectral photography Image processing.'

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1

Munechika, Curtis K. "Merging panchromatic and multispectral images for enhanced image analysis /." Online version of thesis, 1990. http://hdl.handle.net/1850/11366.

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2

Lewis, Ryan H. "Topological & network theoretic approaches in hyperspectral remote sensing /." Online version of thesis, 2010. http://ritdml.rit.edu/handle/1850/12274.

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3

Francis, John W. "Pixel-by pixel reduction of atmospheric haze effects in multispectral digital imagery of water /." Online version of thesis, 1989. http://hdl.handle.net/1850/11359.

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4

Pradhan, Pushkar S. "Multiresolution based, multisensor, multispectral image fusion." Diss., Mississippi State : Mississippi State University, 2005. http://library.msstate.edu/etd/show.asp?etd=etd-07082005-140541.

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5

Daniel, Brian. "A system study of sparse aperture sensors in remote sensing applications with explicit phase retrieval /." Online version of thesis, 2009. http://hdl.handle.net/1850/9676.

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6

Higbee, Shawn. "A Bayesian approach to identification of gaseous effluents in passive LWIR imagery /." Online version of thesis, 2009. http://hdl.handle.net/1850/10969.

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7

Aqdus, Syed Ali. "Airborne multispectral and hyperspectral remote sensing techniques in archaeology a comparative study /." Thesis, Thesis restricted. Connect to e-thesis to view abstract, 2009. http://theses.gla.ac.uk/812/.

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Thesis (Ph.D.) - University of Glasgow, 2009.<br>Ph.D. thesis submitted to the Faculty of Physical Sciences, Department of Geographical and Earth Sciences and the Faculty of Arts, Department of Archaeology, University of Glasgow, 2009. Includes bibliographical references. Print version also available.

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8

Whitbread, P. J. "Multi-spectral texture : improving classification of multi-spectral images by the integration of spatial information /." Title page, abstract and contents only, 1992. http://web4.library.adelaide.edu.au/theses/09PH/09phw5792.pdf.

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Thesis (Ph. D.)--University of Adelaide, Dept. of Electrical and Electronic Engineering, 1994?<br>One computer disk in pocket inside back cover. System requirements for accompanying computer disk: Macintosh computer. Includes bibliographical references (leaves 148-160).

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9

Doster, Timothy J. "Mathematical methods for anomaly grouping in hyperspectral images /." Online version of thesis, 2009. http://hdl.handle.net/1850/11575.

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10

Jayaram, Vikram. "Reduced dimensionality hyperspectral classification using finite mixture models." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2009. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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11

Prasert, Sunyaruk. "Multi angle imaging with spectral remote sensing for scene classification." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Mar%5FPrasert.pdf.

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Thesis (M.S. in Information Technology Management)--Naval Postgraduate School, March 2005.<br>Thesis Advisor(s): Richard C. Olsen. Includes bibliographical references (p. 95-97). Also available online.

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12

Rose, Robert A. "The generation and comparison of multispectral synthetic textures /." Online version of thesis, 1994. http://hdl.handle.net/1850/11731.

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13

Niu, Xutong. "Highway extraction from high resolution aerial photography using a geometric active contour model." The Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=osu1101833084.

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14

Rydberg, Anna. "Multispectral image analysis for extraction of remotely sensed features in agricultural fields /." Uppsala : Centre for Image Analysis, Swedish Univ. of Agricultural Sciences (Centrum för bildanalys, Sveriges lantbruksuniv.), 2001. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=009768972&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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15

Ramalingam, Nagarajan. "Non-contact multispectral and thermal sensing techniques for detecting leaf surface wetness." Connect to this title online, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1104392582.

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Thesis (Ph. D.)--Ohio State University, 2005.<br>Title from first page of PDF file. Document formatted into pages; contains xxii, 271 p.; also includes graphics (some col.) Includes bibliographical references (p. 206-214).

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16

Wolters, Dustin Joseph. "Assessment of Corn Plant Population at Emergence from Processed Color Aerial Imagery." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1437666741.

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17

Fu, Youtong. "Use Of Small Format Aerial Photography in NPS Pollution Control Applications." Diss., Virginia Tech, 2002. http://hdl.handle.net/10919/26346.

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An automated procedure was developed to identify and extract confined poultry facilities from color 35-mm slide imagery collected by the United States Department of Agriculture/Farm Service Agency (USDA/FSA). The imagery is used by the USDA/FSA to monitor compliance with various farm support programs and to determine crop production acreage within a given county. The imagery is generally available for all counties within the state on an annual basis. The imagery, however, is not flown to rigid specifications as flight height, direction, and overlap can vary significantly. The USDA/FSA attempts

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18

Wiemker, Rafael. "The Color Constancy Problem in Multispectral Remote Sensing - On the Impact of Surface Orientation on Spectral Signatures." Phd thesis, 1997. http://tel.archives-ouvertes.fr/tel-00010773.

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19

Hardy, Caroline Hazel. "Image processing techniques for hazardous weather detection." Thesis, 2012. http://hdl.handle.net/10210/4844.

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M.Ing.<br>Globally, hazardous weather phenomena such as violent storms, oods, cyclones, tornadoes, snow and hail contribute to signi cant annual xed property damages, loss of movable property and loss of life. The majority of global natural disasters are related to hydro-meteorological events. Hazardous storms are destructive and pose a threat to life and property. Forecasting, monitoring and detecting hazardous storms are complex and demanding tasks, that are however essential. In this study automatic hazardous weather detection utilizing remotely sensed meteorological data has been investiga

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