CAJ | 학술논문

针对海冰遥感分类问题，使用我国首颗民用合成孔径雷达卫星环境一号星( HJ鄄1C)图像的S波段VV极化SAR数据进行辽东湾海冰分类，提出了一种针对单极化SAR数据的海冰分类方法。使用基于SAR数据的3种海冰信息作为分类依据，即灰度信息、灰度共生矩阵纹理信息及基于平整冰面积百分比提取的平整冰密集度信息。研究结果表明，平整冰密集度信息是区分碎冰和风致纹理粗糙开阔水的有效信息。使用最大似然法与决策树融合的分类方法可以有效地识别封冻期辽东湾海域的碎冰、平整冰和开阔水3种类型，为海冰分类提供了一种新思路。
침대해빙요감분류문제，사용아국수과민용합성공경뢰체위성배경일호성( HJ견1C)도상적S파단VV겁화SAR수거진행료동만해빙분류，제출료일충침대단겁화SAR수거적해빙분류방법。사용기우SAR수거적3충해빙신식작위분류의거，즉회도신식、회도공생구진문리신식급기우평정빙면적백분비제취적평정빙밀집도신식。연구결과표명，평정빙밀집도신식시구분쇄빙화풍치문리조조개활수적유효신식。사용최대사연법여결책수융합적분류방법가이유효지식별봉동기료동만해역적쇄빙、평정빙화개활수3충류형，위해빙분류제공료일충신사로。
Sea ice classification is an important basis for the sea ice forecast in that many parameters such as the maximum of sea ice extent can be derived from that. An approach to sea ice classification using HJ-1C SAR data, which is the first civil spaceborne SAR system of China, is presented in this paper. The data were S-band and VV polarized and acquired over Liaodong Bay. Three types of information were extracted from the SAR data, including the uncalibrated backscattering coefficients and the gray level co -occurrence matrices. Besides, the level ice concentration was introduced as the classification basis. It proves to be effective in sea ice classification, especially in the separation between brash ice and wind-roughened open water. Based on all the information, the authors implemented the classifier fusion which combines the maximum likelihood and the decision tree. With the optical data from HJ-1B for validation, a good result is obtained, in which the brash ice, level ice and open water are well distinguished.