Evaluation of camouflage effectiveness using hyperspectral images

Ahmad Zavvartorbati; Hamid Dehghani; Ali Jabar Rashidi

doi:10.1117/1.JRS.11.045008

2 November 2017 Evaluation of camouflage effectiveness using hyperspectral images

Ahmad Zavvartorbati, Hamid Dehghani, Ali Jabar Rashidi

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 11, Issue 4, 045008 (November 2017). https://doi.org/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.

Citation Download Citation

Ahmad Zavvartorbati, Hamid Dehghani, and Ali Jabar Rashidi "Evaluation of camouflage effectiveness using hyperspectral images," Journal of Applied Remote Sensing 11(4), 045008 (2 November 2017). https://doi.org/10.1117/1.JRS.11.045008

Received: 15 July 2017; Accepted: 9 October 2017; Published: 2 November 2017

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