遥感图像融合方法在机场识别应用中的研究  

Study on Image Fusion Methods for Airport Recognition

作　　者：因倩[1,2] 张占睦[1] 曲筱筱 冯颖 

机构地区：[1]解放军信息工程大学测绘学院 [2]61148部队 [3]72515部队 [4]65015部队

出　　处：《海洋测绘》2010年第2期38-41,共4页Hydrographic Surveying and Charting

摘　　要：针对利用光谱特性和几何结构特性可以提高机场识别效率和鲁棒性的理论,对像素级遥感图像融合方法进行了分析比较,并对融合结果进行了针对性的效果评价。实验结果表明,小波变换融合法和高通滤波融合法在继承光谱信息和增强边缘特征方面有一定的优势,能够为机场识别提供信息丰富的图像数据基础。This paper studied image fusion at pixel level thoroughly aim at the theory which combines spectral character with structure feature to raise the efficiency of airport recognition, and carried on effect evaluation to fusion image in common method. The experiment showed that wavelet transform and high-pass filter had certain advantages in inherit spectral character and strengthen edge character, which had an advantage for farther research on airport recognition.

关 键 词：遥感图像融合 机场识别 评价指标 鲁棒性 

分 类 号：P237[天文地球—摄影测量与遥感]