21 September 2004 Image-based synthesis of airborne minefield MWIR data
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It is practically impossible to collect an exhaustive set of minefield data for all different environment conditions, diurnal cycle, terrain conditions and minefield layouts. Such a data collection may in fact be even more expensive to ground truth, register and maintain than to acquire. This paper explores minefield synthesis using patch-based sampling of previously acquired airborne mid-wave infra-red (MWIR) images. The main idea is to synthesize a new (minefield) image by selecting appropriate small patches from the existing images and stitching them together in a consistent manner to simulate realistic imagery for different minefield scenarios. The selected patches include those from different background types, emplaced cultural clutter and different mine types. We assume a first order Markov model for the image so that the image-patch at a particular location is dependent on the characteristics of the image patch in the immediate neighborhood only. The proposed model is capable of generating any desired terrain condition (homogenous or inhomogeneous) based on a given terrain map. In addition, it supports generating different minefield layouts such as patterned or scattered minefields using mine patches from appropriate backgrounds. The paper presents representative synthesized minefield imagery and image sequences using previously collected real airborne data. Minefield image data synthesized using this procedure should be valuable in an airborne minefield detection program for evaluating most mine detection as well as minefield detection algorithms.
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Sanjeev Agarwal, Sanjeev Agarwal, Thandava Krishna Edara, Thandava Krishna Edara, C. W. Swonger, C. W. Swonger, Anh H. Trang, Anh H. Trang, } "Image-based synthesis of airborne minefield MWIR data", Proc. SPIE 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX, (21 September 2004); doi: 10.1117/12.546045; https://doi.org/10.1117/12.546045

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