基于纹理分析和支持向量机的极地冰雪覆盖区的云层检测

基金项目: 国家测绘局测绘科技发展基金资助项目(14601402024-04-06)

详细信息

Cloud Detection Based on Texture Analysis and SVM over Ice-snow Covered Area

¹ Chinese Antarctic Center of Surveying and Mapping,Wuhan University,129 Luoyu Road,Wuhan 430079,China

Funds: 国家测绘局测绘科技发展基金资助项目(14601402024-04-06)

摘要: 使用ASTER卫星影像,综合运用纹理分析和支持向量机的方法来检测云层,特别是对薄卷云的检测。试验表明了本文方法的有效性。
- 云层检测 /
- 纹理分析 /
- 支持向量机 /
- 冰雪覆盖区 /
- 极地地区
Abstract: This paper presents one cloud detection method over ice-snow covered area in Antarctica.On account of different texture features of cloud and ice-snow area,five texture features are extracted based on GLCM.Then non-liner SVM is used to obtain the best model from training data.The experimental result shows that this algorithm performs well in cloud detection in Antarctica,especially to the thin cirrus.Furthermore,when images are resampled to the quarter or 1/16 size of the full size,cloud percentage does not change greatly,while the processing time decreases exponentially.
- cloud detection /
- texture analysis /
- SVM /
- ice-snow covered area /
- polar region