{"title":"Texture and speckle statistics in polarimetric SAR synthesized images","authors":"G. D. Grandi, Jong-Sen Lee, D. Schuler, E. Nezry","doi":"10.1109/IGARSS.1997.606463","DOIUrl":null,"url":null,"abstract":"A study on the texture and speckle statistics in polarimetric SAR synthesized images was carried out by the authors and presented in preliminary form at the IGARSS'95 Symposium. Some results, which have been recently consolidated, are summarized. The authors introduce at first a formalism to measure from experimental SAR data and represent graphically and in concise form the dependency of the statistical properties of the image on the polarization state. In particular they focus their attention on the one point statistics and on the second order normalized moment dependency on the polarization state. This is an extension of the classical polarimetric signature, and in the case of the second order moment is called the polarimetric texture signature. Application of this formalism to a data set acquired by the NASA JPL AIRSAR polarimetric radar over the Les Landes forest reveals some distinct and interesting trends in the texture signatures. Theoretical explanation of the phenomenon starts from the consideration of the influence of the synthesis operation, seen as a linear transformation of random variables, on the probability distribution function of the radar signal. A first mechanism that underpins the second moment variation with polarization is defined; this effect arises when multi-look polarimetric data are derived in the space domain from correlated single look data, and is entirely due to the fading statistics. A second mechanism is postulated to account for the observed texture signatures, which is due to the polarimetric diversity of the underlying radar reflectivity. This asymmetry in the response of the scatterer to the polarized wave can be best modelled using a so called polarimetric mixture approach, whereby polarimetrically different scattering mechanisms are combined for each resolution cell. A Monte Carlo simulation approach is used to reconstruct the observed signatures, starting from the assumption of simple physical situations, which can be realizable in scattering processes from natural targets. An example is presented, related to a mixture of deterministic point targets and a vegetation clutter. An interesting consequence from the application point of view is that the polarimetric texture signature is found to be a discriminator of weak targets against a clutter, when only polarimetric diversity and not radiometric diversity plays a role.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"43","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"遥感信息","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.1109/IGARSS.1997.606463","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 43
Abstract
A study on the texture and speckle statistics in polarimetric SAR synthesized images was carried out by the authors and presented in preliminary form at the IGARSS'95 Symposium. Some results, which have been recently consolidated, are summarized. The authors introduce at first a formalism to measure from experimental SAR data and represent graphically and in concise form the dependency of the statistical properties of the image on the polarization state. In particular they focus their attention on the one point statistics and on the second order normalized moment dependency on the polarization state. This is an extension of the classical polarimetric signature, and in the case of the second order moment is called the polarimetric texture signature. Application of this formalism to a data set acquired by the NASA JPL AIRSAR polarimetric radar over the Les Landes forest reveals some distinct and interesting trends in the texture signatures. Theoretical explanation of the phenomenon starts from the consideration of the influence of the synthesis operation, seen as a linear transformation of random variables, on the probability distribution function of the radar signal. A first mechanism that underpins the second moment variation with polarization is defined; this effect arises when multi-look polarimetric data are derived in the space domain from correlated single look data, and is entirely due to the fading statistics. A second mechanism is postulated to account for the observed texture signatures, which is due to the polarimetric diversity of the underlying radar reflectivity. This asymmetry in the response of the scatterer to the polarized wave can be best modelled using a so called polarimetric mixture approach, whereby polarimetrically different scattering mechanisms are combined for each resolution cell. A Monte Carlo simulation approach is used to reconstruct the observed signatures, starting from the assumption of simple physical situations, which can be realizable in scattering processes from natural targets. An example is presented, related to a mixture of deterministic point targets and a vegetation clutter. An interesting consequence from the application point of view is that the polarimetric texture signature is found to be a discriminator of weak targets against a clutter, when only polarimetric diversity and not radiometric diversity plays a role.
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.