NDLI: Markov random field models for supervised land cover classification from very high resolution multispectral remote sensing images

Content Provider	IEEE Xplore Digital Library
Author	Moser, G. Serpico, S.B. Benediktsson, J.A.
Copyright Year	2012
Description	Author affiliation: University of Genoa, Dept. of Telecommunications, Electronic, Electrical, and Naval Eng. (DITEN), Via Opera Pia 11a, 16145 (Italy) (Moser, G.; Serpico, S.B.) \|\| University of Iceland, Faculty of Electrical and Computer Engineering, Sæmundargata 2, 101 Reykjavik, Iceland (Benediktsson, J.A.)
Abstract	One- and multidimensional Markov models represent a general family of stochastic models for the dependence properties associated with random sequences or random fields in many applications in the Information and Communication Technology (ICT) field, such as networking, automation, speech processing, genomic-sequence analysis, or image processing. Here, we focus on land cover mapping from very high-resolution remote-sensing images, which is an important problem in many environmental monitoring and natural resource management applications. In this framework, Markov random fields are of great importance. They allow the spatial information associated with image data to be described and effectively incorporated into image classification. The main ideas and previous work about Markov modeling for very high-resolution image classification are reviewed in the paper and processing results obtained through recent methods proposed by the authors are discussed.
Starting Page	235
Ending Page	242
File Size	1568919
Page Count	8
File Format	PDF
ISBN	9781467324434
e-ISBN	9781467324434
DOI	10.1109/TyWRRS.2012.6381135
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-12
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy Image edge detection Materials Feature extraction Spatial resolution Remote sensing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in