2 November 2017 Evaluation of camouflage effectiveness using hyperspectral images
Author Affiliations +
J. of Applied Remote Sensing, 11(4), 045008 (2017). doi:10.1117/1.JRS.11.045008
Abstract
Recent advances in camouflage engineering have made it more difficult to detect targets. Assessing the effectiveness of camouflage against different target detection methods leads to identifying the strengths and weaknesses of camouflage designs. One of the target detection methods is to analyze the content of the scene using remote sensing hyperspectral images. In the process of evaluating camouflage designs, there must be comprehensive and efficient evaluation criteria. Three parameters were considered as the main factors affecting the target detection and based on these factors, camouflage effectiveness assessment criteria were proposed. To combine the criteria in the form of a single equation, the equation used in target visual search models was employed and for determining the criteria, a model was presented based on the structure of the computational visual attention systems. Also, in software implementations on the HyMap hyperspectral image, a variety of camouflage levels were created for the real targets in the image. Assessing the camouflage levels using the proposed criteria, comparing and analyzing the results can show that the provided criteria and model are effective for the evaluation of camouflage designs using hyperspectral images.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Ahmad Zavvartorbati, Hamid Dehghani, Ali Jabar Rashidi, "Evaluation of camouflage effectiveness using hyperspectral images," Journal of Applied Remote Sensing 11(4), 045008 (2 November 2017). http://dx.doi.org/10.1117/1.JRS.11.045008 Submission: Received 15 July 2017; Accepted 9 October 2017
Submission: Received 15 July 2017; Accepted 9 October 2017
JOURNAL ARTICLE
12 PAGES


SHARE
KEYWORDS
Camouflage

Target detection

Detection and tracking algorithms

Hyperspectral imaging

Hyperspectral target detection

Target recognition

Sensors

RELATED CONTENT


Back to Top