<title>Fuzzy logic approach for the quantitative assessment of camouflage effectiveness in the thermal infrared domain</title>

Abstract

A key point for good camouflage results in the thermal infrared domain lies in the ability of the camouflage system to adapt to the thermal emission behavior of the surrounding background. In order to obtain reliable assessments of the camouflage effectiveness, evaluation has to take place under various environment conditions. The combination of the different results leads to a assessment measure with the demanded reliability. The objective quantization of the individual camouflage effectiveness and the following combination is very difficult to achieve by human operators. Therefore an Infrared Camouflage Effectiveness Assessment Tool (ICEAT) has been developed, which needs only minor human interaction and supports the automated combination of the results of various test scenes. In a first step hot spots of the object and the background are detected. In a second phase various features are calculated which are combined to a single assessment measure in the third phase by using fuzzy logic. The fuzzy logic approach has the advantage that the customization of the ICEAT can be achieved by simply modifying the used membership functions.

<title>FFT-descriptors for shape recognition of military vehicles</title>

“…The reference database, containging the shapes to be recognized, is build up by creating the normalized shape descriptors of those objects. A two-dimensional array of coefficients (2) Ore! (n) (j=0, 1, 2, .…”

<title>Assessing camouflage using textural features</title>

“…In the literature several attempts are described to assess the performance of signature suppression techniques [1][2][3][4][5][6][7] . In the literature several attempts are described to assess the performance of signature suppression techniques [1][2][3][4][5][6][7] .…”