Processing and analysis techniques for continental scale radar maps of the tropical forest

M. Simard, G. D. De Grandi, S. Saatchi, M. Leysen, K. Thomson
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引用次数: 4

Abstract

A new avenue for radar mapping of the tropical forest at continental scale was recently proposed in the context of the European TREES (TRopical Ecosystem Environment monitoring by Satellites) project. The related issues ask for suitable approaches in the processing and analysis phases, which are the main focus of this paper. Some engineering aspects of the processing chain are described. Next the problem of information extraction from the mosaic with respect to the TREES thematic objectives is tackled. A first research topic is the ability to extract multi-scale structures of the tropical forest. The analysis was done using a technique based on the wavelet transform.
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热带森林大陆比例尺雷达图的处理与分析技术
最近在欧洲TREES(卫星监测热带生态系统环境)项目的范围内提出了在大陆尺度上对热带森林进行雷达测绘的新途径。相关问题需要在处理和分析阶段采取合适的方法,这是本文的主要重点。描述了加工链的一些工程方面。接下来,讨论了从关于TREES主题目标的马赛克中提取信息的问题。第一个研究课题是提取热带森林多尺度结构的能力。采用基于小波变换的分析方法进行分析。
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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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