{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:42:47Z","timestamp":1754156567555,"version":"3.41.2"},"reference-count":12,"publisher":"Emerald","issue":"4","license":[{"start":{"date-parts":[[2016,11,14]],"date-time":"2016-11-14T00:00:00Z","timestamp":1479081600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJICC"],"published-print":{"date-parts":[[2016,11,14]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>Infrared simulation plays an important role in small and affordable unmanned aerial vehicles. Its key and main goal is to get the infrared image of a specific target. Infrared physical model is established through a theoretical research, thus the temperature field is available. Then infrared image of a specific target can be simulated properly while taking atmosphere state and effect of infrared imaging system into account. For recent years, some research has been done in this field. Among them, the infrared simulation for large scale is still a key problem to be solved. In this passage, a method of classification based on texture blending is proposed and this method effectively solves the problem of classification of large number of images and increase the frame rate of large infrared scene rendering. The paper aims to discuss these issues.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>Mosart Atmospheric Tool (MAT) is used first to calculate data of sun radiance, skyshine radiance, path radiance, temperatures of different material which is an offline process. Then, shader in OGRE does final calculation to get simulation result and keeps a high frame rate. Considering this, the authors convert data in MAT file into textures which can be easily handled by shader. In shader responding, radiance can be indexed by information of material, vertex normal, eye and sun. Adding the effect of infrared imaging system, the final radiance distribution is obtained. At last, the authors get infrared scene by converting radiance to grayscale.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>In the fragment shader, fake infrared textures are used to look up temperature which can calculate radiance of itself and related radiance.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Research limitations\/implications<\/jats:title>\n<jats:p>The radiance is transferred into grayscale image while considering effect of infrared imaging system.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>Simulation results show that a high frame rate can be reached while guaranteeing the fidelity.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/ijicc-07-2016-0024","type":"journal-article","created":{"date-parts":[[2016,12,19]],"date-time":"2016-12-19T10:12:18Z","timestamp":1482142338000},"page":"406-415","source":"Crossref","is-referenced-by-count":0,"title":["Large-scale scene real-time infrared simulation based on texture blending"],"prefix":"10.1108","volume":"9","author":[{"given":"Yuye","family":"Wang","sequence":"first","affiliation":[]},{"given":"Guofeng","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Xiaoguang","family":"Hu","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"issue":"4","key":"key2020121105140438400_ref001","first-page":"23","article-title":"IR scene simulation based on visual image","volume":"38","year":"2009","journal-title":"Infrared and Laser Engineering"},{"key":"key2020121105140438400_ref002","first-page":"45","article-title":"A real-time infrared imaging simulation method with physical effects modeling of infrared sensors","volume":"74-79","year":"2016","journal-title":"Infrared Physics & Technology"},{"key":"key2020121105140438400_ref003","unstructured":"Li, Y. (2007), \u201cStudy on a method of real-time infrared synthetic image generation based on gpu\u201d, Xidian University, Xian."},{"key":"key2020121105140438400_ref004","unstructured":"MultiGen-Paradigm Corporation (2001a), \u201cSensor products help\u201d, Vega 3.7."},{"key":"key2020121105140438400_ref005","unstructured":"MultiGen-Paradigm Corporation (2001b), \u201cVega programmer\u2019s guide\u201d, Vega 3.7."},{"key":"key2020121105140438400_ref006","unstructured":"MultiGen-Paradigm Inc. (2001), \u201cVega sensor\u2019s help\u201d, Vega 3.7."},{"issue":"7","key":"key2020121105140438400_ref007","first-page":"1492","article-title":"Implementation of infrared scene simulation based on programmable gpu","volume":"19","year":"2007","journal-title":"Journal of System Simulation"},{"issue":"4","key":"key2020121105140438400_ref008","first-page":"35","article-title":"Research into theoretical calculation method on engineering of transmittance of infrared radiation through atomosphere","volume":"6","year":"1998","journal-title":"Optics and Precision Engineering"},{"issue":"3","key":"key2020121105140438400_ref009","first-page":"19","article-title":"A method for real-time infrared detector effect simulation","volume":"22","year":"2009","journal-title":"Electronic Science and Technology"},{"first-page":"1","article-title":"Research on large-scale scene infrared simulation based on image classification","year":"2011","key":"key2020121105140438400_ref011"},{"issue":"8","key":"key2020121105140438400_ref012","doi-asserted-by":"crossref","first-page":"1193","DOI":"10.1023\/A:1015067216283","article-title":"A global infrared image synthesis model for large-scale complex urban scene","volume":"22","year":"2001","journal-title":"The International Journal of Infrared and Millimeter Waves"},{"issue":"3","key":"key2020121105140438400_ref013","first-page":"32","article-title":"The modeling methods of infrared imaging system simulation based on the modules of Vega software","volume":"30","year":"2008","journal-title":"Journal of Detection & Control"}],"container-title":["International Journal of Intelligent Computing and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.emeraldinsight.com\/doi\/full-xml\/10.1108\/IJICC-07-2016-0024","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/IJICC-07-2016-0024\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/IJICC-07-2016-0024\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T22:54:31Z","timestamp":1753397671000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/ijicc\/article\/9\/4\/406-415\/444627"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,11,14]]},"references-count":12,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2016,11,14]]}},"alternative-id":["10.1108\/IJICC-07-2016-0024"],"URL":"https:\/\/doi.org\/10.1108\/ijicc-07-2016-0024","relation":{},"ISSN":["1756-378X"],"issn-type":[{"type":"print","value":"1756-378X"}],"subject":[],"published":{"date-parts":[[2016,11,14]]}}}