The advances in hyperspectral remote sensing technology, have become these images the specific information source for target identification. "spectral anomaly detection" Processing domain, which determine the location of unusual objects on the image identifying anomalies in hyperspectral images, is a threat in camouflage designs. the subject of this article is success evaluation of camouflage designs deal with this threat. The assessment process should be comprehensive and to be done on the basis of efficient measures. In this paper, the type of algorithm, the background specifications and the target specifications, were considered as the efficient parameters in the anomaly detection process, and on the basis of it, were presented measures for effectiveness evaluation of camouflage designs in terms of Spectral anomaly features. In the software implementations on two hyperspectral images, was created a variety of real and synthetic targerts with different camouflage levels. effectiveness Evaluation of simulated camouflage levels using the proposed measures and Comparison and analysis of the received results, shows the The effectiveness of the proposed measures.
zavvartorbati, A., dehghani, H., & rashidi, A. J. (2019). Effectiveness Assessment of Camouflage Designs Based on Spectral Anomaly Feature. Journal of Advanced Defense Science & Technology, 6(4), 277-288.
MLA
ahmad zavvartorbati; hamid dehghani; ali jabar rashidi. "Effectiveness Assessment of Camouflage Designs Based on Spectral Anomaly Feature", Journal of Advanced Defense Science & Technology, 6, 4, 2019, 277-288.
HARVARD
zavvartorbati, A., dehghani, H., rashidi, A. J. (2019). 'Effectiveness Assessment of Camouflage Designs Based on Spectral Anomaly Feature', Journal of Advanced Defense Science & Technology, 6(4), pp. 277-288.
VANCOUVER
zavvartorbati, A., dehghani, H., rashidi, A. J. Effectiveness Assessment of Camouflage Designs Based on Spectral Anomaly Feature. Journal of Advanced Defense Science & Technology, 2019; 6(4): 277-288.
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