D. Casarano, F. Posa, Francesco Mattia, G. D. Carolis, J. Souyris, T. L. Toan, Guido Pasquariello
{"title":"Monte Carlo simulation of backscattering from natural soil surfaces","authors":"D. Casarano, F. Posa, Francesco Mattia, G. D. Carolis, J. Souyris, T. L. Toan, Guido Pasquariello","doi":"10.1109/IGARSS.1997.615235","DOIUrl":null,"url":null,"abstract":"The objective of this paper is to investigate the impact of a multiscale roughness description on the surface radar backscattering response. Surfaces are generated using a 2D fractional Brownian motion process. A Monte-Carlo EM simulation based on the Kirchhoff tangent plane approximation is used to derive the backscattering coefficient. Numerical results are compared with backscattering coefficients obtained by means of the IEM model. Exponential, Gaussian and hybrid autocorrelation functions are considered.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"11 1","pages":"719-721 vol.2"},"PeriodicalIF":0.0000,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"遥感信息","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.1109/IGARSS.1997.615235","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The objective of this paper is to investigate the impact of a multiscale roughness description on the surface radar backscattering response. Surfaces are generated using a 2D fractional Brownian motion process. A Monte-Carlo EM simulation based on the Kirchhoff tangent plane approximation is used to derive the backscattering coefficient. Numerical results are compared with backscattering coefficients obtained by means of the IEM model. Exponential, Gaussian and hybrid autocorrelation functions are considered.
期刊介绍：
Remote Sensing Information is a bimonthly academic journal supervised by the Ministry of Natural Resources of the People's Republic of China and sponsored by China Academy of Surveying and Mapping Science. Since its inception in 1986, it has been one of the authoritative journals in the field of remote sensing in China.In 2014, it was recognised as one of the first batch of national academic journals, and was awarded the honours of Core Journals of China Science Citation Database, Chinese Core Journals, and Core Journals of Science and Technology of China. The journal won the Excellence Award (First Prize) of the National Excellent Surveying, Mapping and Geographic Information Journal Award in 2011 and 2017 respectively.
Remote Sensing Information is dedicated to reporting the cutting-edge theoretical and applied results of remote sensing science and technology, promoting academic exchanges at home and abroad, and promoting the application of remote sensing science and technology and industrial development. The journal adheres to the principles of openness, fairness and professionalism, abides by the anonymous review system of peer experts, and has good social credibility. The main columns include Review, Theoretical Research, Innovative Applications, Special Reports, International News, Famous Experts' Forum, Geographic National Condition Monitoring, etc., covering various fields such as surveying and mapping, forestry, agriculture, geology, meteorology, ocean, environment, national defence and so on.
Remote Sensing Information aims to provide a high-level academic exchange platform for experts and scholars in the field of remote sensing at home and abroad, to enhance academic influence, and to play a role in promoting and supporting the protection of natural resources, green technology innovation, and the construction of ecological civilisation.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
