{"title":"基于NIIRS的遥感系统设计与分析","authors":"Honggang Bai","doi":"10.1109/SOPO.2012.6270433","DOIUrl":null,"url":null,"abstract":"Remote sensing image quality is sensitive to the system design parameters such as modulation transfer function (MTF), signal-to-noise ratio (SNR), and ground sampled distance (GSD). In this paper, two concepts about NIIRS and optical Q are presented, and each part physics means in model and formula are illustrated separately, then three influencing factor of sampling rate, pixels of smear, and SNR for the image quality are specific analyzed by simulating and comparing, finally, the optimum design of remote sensors are discussed, and the method to improve the image quality scale is posed for remote sensing systems. Comparisons with preliminary calculation results show that image quality scale of remote sensing systems can be improved by increasing along-scan sampling although more validation experiments are needed.","PeriodicalId":159850,"journal":{"name":"2012 Symposium on Photonics and Optoelectronics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Design and Analysis Based on NIIRS for Remote Sensing Systems\",\"authors\":\"Honggang Bai\",\"doi\":\"10.1109/SOPO.2012.6270433\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Remote sensing image quality is sensitive to the system design parameters such as modulation transfer function (MTF), signal-to-noise ratio (SNR), and ground sampled distance (GSD). In this paper, two concepts about NIIRS and optical Q are presented, and each part physics means in model and formula are illustrated separately, then three influencing factor of sampling rate, pixels of smear, and SNR for the image quality are specific analyzed by simulating and comparing, finally, the optimum design of remote sensors are discussed, and the method to improve the image quality scale is posed for remote sensing systems. Comparisons with preliminary calculation results show that image quality scale of remote sensing systems can be improved by increasing along-scan sampling although more validation experiments are needed.\",\"PeriodicalId\":159850,\"journal\":{\"name\":\"2012 Symposium on Photonics and Optoelectronics\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Symposium on Photonics and Optoelectronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOPO.2012.6270433\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Symposium on Photonics and Optoelectronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOPO.2012.6270433","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Design and Analysis Based on NIIRS for Remote Sensing Systems
Remote sensing image quality is sensitive to the system design parameters such as modulation transfer function (MTF), signal-to-noise ratio (SNR), and ground sampled distance (GSD). In this paper, two concepts about NIIRS and optical Q are presented, and each part physics means in model and formula are illustrated separately, then three influencing factor of sampling rate, pixels of smear, and SNR for the image quality are specific analyzed by simulating and comparing, finally, the optimum design of remote sensors are discussed, and the method to improve the image quality scale is posed for remote sensing systems. Comparisons with preliminary calculation results show that image quality scale of remote sensing systems can be improved by increasing along-scan sampling although more validation experiments are needed.