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首页 > 中国极地考察知识库 > 成果信息库 > 已审查 基于灰度共生矩阵的Grove山地区冰裂隙探测

基于灰度共生矩阵的Grove山地区冰裂隙探测

【标题】基于灰度共生矩阵的Grove山地区冰裂隙探测

【Title】ICE CREVASSE DETECTION BASED ON GRAY LEVEL CO-OCCURRENCE MATRIX

【作者】 周春霞; 鄂栋臣; 王泽民

【Author】 Zhou Chunxia ; E Dongchen ; Wang Zemin

【期刊】极地研究

【Journal】

【期刊年份】2008

【卷】20

【期】

【关键词】 冰裂隙; 纹理分析; 灰度共生矩阵; 光学影像

【Keywords】

【摘要】冰裂隙是内陆冰盖野外考察最危险因素之一。冰裂隙的识别保证了野外科学考察安全路线的选择,同时为研究冰体的运动提供了参考信息。本文基于SPOT5光学影像,利用灰度共生矩阵对东南极Grove山地区冰裂隙进行初步识别,并结合野外考察导航路线对结果进行分析,为野外考察提供参考。

【Abstract】Crevasse is one of the most dangerous factors to the team members during the field expedition. Crevasse detection is very important in polar scientific research expedition for the safety; meanwhile, it is also meaningful information for ice flow monitoring. This paper presents the preliminary study on ice crevasse texture analysis and recognition based on SPOT image of Grove Mountains, east Antarctica. And gray level co-occurrence matrix is chosen at first to recognize the crevasse texture. Combined with the navigation route, the results are analyzed. More texture analysis methods will be studied in optical and radar imagery in further research.

【基金/项目】

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