{"id":8312,"date":"2012-10-03T18:32:33","date_gmt":"2012-10-03T15:32:33","guid":{"rendered":"http:\/\/hgpu.org\/?p=8312"},"modified":"2012-10-03T18:32:33","modified_gmt":"2012-10-03T15:32:33","slug":"gpu-based-infrared-thermography-for-nde-of-minefields","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=8312","title":{"rendered":"GPU-based infrared thermography for NDE of minefields"},"content":{"rendered":"<p>Infrared thermography is an attractive technique for non-destructive evaluation processes and particularly for detecting shallowly buried mines. Its use consists of subjecting the area under inspection to a source of natural or artificial heating\/cooling process and studying the soil&#8217;s response by means of the analysis of its thermal evolution given by a temporal sequence of infrared images. To this aim an efficient solution of the heat equation is required. Over the years, different software solutions have been proposed, taking advantage of today&#8217;s impressive computing power of parallel machines. In this work, we consider a hybrid software-hardware approach making use of a  Graphics Processing Unit (GPU) acting as a heat equation solver with the goal of obtaining a portable system to be used during field experiments. The system has been successfully used for the non-destructive inspection of soils in mine detection applications based on infrared thermography techniques.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Infrared thermography is an attractive technique for non-destructive evaluation processes and particularly for detecting shallowly buried mines. Its use consists of subjecting the area under inspection to a source of natural or artificial heating\/cooling process and studying the soil&#8217;s response by means of the analysis of its thermal evolution given by a temporal sequence of [&hellip;]<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[89,3,12],"tags":[14,20,627,1783,505],"class_list":["post-8312","post","type-post","status-publish","format-standard","hentry","category-nvidia-cuda","category-paper","category-physics","tag-cuda","tag-nvidia","tag-nvidia-geforce-gts-250","tag-physics","tag-thermodynamics"],"views":2902,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/8312","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/users\/351"}],"replies":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=8312"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/8312\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8312"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=8312"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=8312"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}