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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/5212
Title: Camouflage Detection Using MWIR Hyperspectral Images
Authors: Kumar V.
Ghosh, Jayanta Kumar
Published in: Journal of the Indian Society of Remote Sensing
Abstract: Mid Wave Infra Red (MWIR) region of the electromagnetic spectrum is a key region that is exploited for long range infrared reconnaissance and surveillance applications. Detecting enemy targets and being undetectable is the prime requirement of the modern warfare. In the present study MWIR hyperspectral imaging has been exploited for detection of camouflaged targets in the scene. Detection methodology has been developed using unsupervised target detection algorithms (Reed Xiaoli, K-Means and ISODATA). Methodology has been successfully tested in extracting camouflaged targets from the background. Performance results have been compared. The proposed methodology may in future be applied in detection and identification of gases and minerals in the field. ¬© 2016, Indian Society of Remote Sensing.
Citation: Journal of the Indian Society of Remote Sensing(2017), 45(1): 139-145
URI: https://doi.org/10.1007/s12524-016-0555-8
http://repository.iitr.ac.in/handle/123456789/5212
Issue Date: 2017
Publisher: Springer India
Keywords: Camouflage
Emissivity
Hyperspectral
MWIR
Target detection
ISSN: 0255660X
Author Scopus IDs: 36986501300
34968946700
Author Affiliations: Kumar, V., Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India
Ghosh, J.K., Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India
Corresponding Author: Kumar, V.; Department of Civil Engineering, Indian Institute of Technology RoorkeeIndia; email: vksaharavat@gmail.com
Appears in Collections:Journal Publications [CE]

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