NDLI: Composite kernels conditional random fields for remote-sensing image classification

Content Provider	IET Digital Library
Author	Wu, Junfeng Jiang, Zhiguo Luo, Jianwei Zhang, Haopeng
Abstract	The problem of classifying a remote-sensing image by specifically labelling each pixel in the image is addressed. A novel method, named composite kernels conditional random field (CKCRF), which embeds multiple kernels into a classical CRFs model is proposed. Rather than manually selecting kernel-like KCRF, CKCRFs chooses the appropriate kernel by training. Moreover, a genetic programming-based decision-level fusion framework is proposed to tackle the problem of feature selection. It can select the appropriate features suitable to each category. Evaluations show that CKCRFs outperform CRFs and KCRFs, and CKCRFs with the fusion scheme is better than that without the fusion step.
Starting Page	1589
Ending Page	1591
Page Count	3
ISSN	00135194
Volume Number	50
e-ISSN	1350911X
Issue Number	Issue 22, Oct (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/50/22
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2014.1964
Journal	Electronics Letters
Publisher Date	2014-10-14
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Composite Kernels Conditional Random Field Computer Vision And Image Processing Technique Data And Information; Acquisition, Processing, Storage And Dissemination in Geophysics Fusion Scheme Genetic Programming Geography And Cartography Computing Geophysical Image Processing Geophysical Technique And Equipment GP-based Decision-level Fusion Framework Image Classification Image Fusion Instrumentation And Technique For Geophysical, Hydrospheric And Lower Atmosphere Research Optical, Image And Video Signal Processing Remote Sensing Remote-sensing Image Classification
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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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
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