{"title":"EO/IR系统的V-NIIRS融合建模","authors":"Erik Blasch, B. Kahler","doi":"10.1109/NAECON.2015.7443033","DOIUrl":null,"url":null,"abstract":"The Video National Imagery Interpretability Rating Scale (V-NIIRS) is an emerging standard of the Motion Imagery Standards Board (MISB). V-NIIRS extends NIIRS to from image-based scene characterization to streaming video for image quality assessment of object recognition. To apply V-NIIRS for image fusion, there is a need to understand the operating conditions of the sensor type, environmental phenomenon, and target behavior (SET). In this paper, we explore V-NIIRS as related to resolution, ground sampling distance, and probability of detection, recognition, and identification success. In a modeling analysis, we determine the issues and capabilities of using V-NIIRS video quality ratings to determine task success. Scenarios are provided that allow one to determine the V-NIIRS requirement for a given operational parameter.","PeriodicalId":133804,"journal":{"name":"2015 National Aerospace and Electronics Conference (NAECON)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"V-NIIRS fusion modeling for EO/IR systems\",\"authors\":\"Erik Blasch, B. Kahler\",\"doi\":\"10.1109/NAECON.2015.7443033\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Video National Imagery Interpretability Rating Scale (V-NIIRS) is an emerging standard of the Motion Imagery Standards Board (MISB). V-NIIRS extends NIIRS to from image-based scene characterization to streaming video for image quality assessment of object recognition. To apply V-NIIRS for image fusion, there is a need to understand the operating conditions of the sensor type, environmental phenomenon, and target behavior (SET). In this paper, we explore V-NIIRS as related to resolution, ground sampling distance, and probability of detection, recognition, and identification success. In a modeling analysis, we determine the issues and capabilities of using V-NIIRS video quality ratings to determine task success. Scenarios are provided that allow one to determine the V-NIIRS requirement for a given operational parameter.\",\"PeriodicalId\":133804,\"journal\":{\"name\":\"2015 National Aerospace and Electronics Conference (NAECON)\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 National Aerospace and Electronics Conference (NAECON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAECON.2015.7443033\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 National Aerospace and Electronics Conference (NAECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAECON.2015.7443033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Video National Imagery Interpretability Rating Scale (V-NIIRS) is an emerging standard of the Motion Imagery Standards Board (MISB). V-NIIRS extends NIIRS to from image-based scene characterization to streaming video for image quality assessment of object recognition. To apply V-NIIRS for image fusion, there is a need to understand the operating conditions of the sensor type, environmental phenomenon, and target behavior (SET). In this paper, we explore V-NIIRS as related to resolution, ground sampling distance, and probability of detection, recognition, and identification success. In a modeling analysis, we determine the issues and capabilities of using V-NIIRS video quality ratings to determine task success. Scenarios are provided that allow one to determine the V-NIIRS requirement for a given operational parameter.