{"title":"A mixed fractal/wavelet based approach for characterization of textured remote sensing images","authors":"A. Marazzi, P. Gamba, A. Mecocci, E. Costamagna","doi":"10.1109/IGARSS.1997.615214","DOIUrl":null,"url":null,"abstract":"One of the problems encountered in the field of remote sensing image characterization, is the choice for the right features. The addition of textures as a discriminating parameter is a good help in the step of segmentation of different zones. The authors present an approach that is a mix between a wavelet multiscale analysis and a fractal characterization, in order to exploit both the main characteristic of the two approaches and to override the limitations of the two techniques. The chain was applied to different textured images showing an improvement respect to other methods based on wavelet transform and fractal approach alone.","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":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"遥感信息","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.1109/IGARSS.1997.615214","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
One of the problems encountered in the field of remote sensing image characterization, is the choice for the right features. The addition of textures as a discriminating parameter is a good help in the step of segmentation of different zones. The authors present an approach that is a mix between a wavelet multiscale analysis and a fractal characterization, in order to exploit both the main characteristic of the two approaches and to override the limitations of the two techniques. The chain was applied to different textured images showing an improvement respect to other methods based on wavelet transform and fractal approach alone.
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.
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