新型SAR对地环境观测  

New generation SAR for Earth environment observation

作　　者：郭华东 吴文瑾 张珂 李新武 GUO Huadong;WU Wenjin;ZHANG Ke;LI Xinwu(International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China;Key Laboratory of Digital Earth Science, Aerospace Information Institute, Chinese Academy of Sciences, Beijing 100094, China;University of Chinese Academy of Sciences, Beijing 100049, China)

机构地区：[1]可持续发展大数据国际研究中心,北京100094 [2]数字地球重点实验室,中国科学院空天信息创新研究院,北京100094 [3]中国科学院大学,北京100049

出　　处：《测绘学报》2022年第6期862-872,共11页Acta Geodaetica et Cartographica Sinica

基　　金：中国科学院前沿科学重点研究项目(QYZDY-SSW-DQC026)。

摘　　要：合成孔径雷达(SAR)系统在对地观测中具有全天时全天候的独特优势。近十几年来,多模式、多角度、多维度、大幅宽、高分辨率、多基协同等SAR技术的问世,代表着新型SAR观测时代的到来。为对这一SAR发展阶段的特点和能力进行分析,本文首先介绍了新型SAR系统观测能力的发展,包括如何获取大范围、多时相、多层次SAR综合对地观测数据及实现月基SAR等观测技术;然后,总结了杂交介质建模、时频分解、深度学习、压缩感知等新型信息提取方法在SAR领域发挥的作用;最后,介绍了新型SAR在城市管理、植被调查、极地与海洋测绘以及灾害监测等领域的研究进展,旨在推动SAR观测技术在测绘领域更广泛而深入的应用。Synthetic aperture radar(SAR)systems have the unique advantage of all-time and all-weather observation.In the past decade or so,with the continuous announcement of multi-mode,multi-angle,multi-dimension,wide-swath,high-resolution,and multi-static SAR observation technologies,SAR observation has been in the“new generation”stage.This paper first introduces the development of the observation capability of the new generation SAR,including how to realize the wide-swath,multi-temporal,and multi-level observation as well as moon-base observation;Then,the development and application of new information extraction methods such as the non-stationary statistical modeling,time-frequency decomposition,deep learning,and compressed sensing for new generation SAR images are summarized;Finally,recent application progress in urban management,vegetation mapping,polar region and ocean survey,and disaster monitoring are listed to promote wider and deeper applications of the new generation SAR.

关 键 词：合成孔径雷达 对地观测 测绘 

分 类 号：P227[天文地球—大地测量学与测量工程]