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SIFT-based automatic tie-points extraction for airborne InSAR images

《高技术通讯:英文版》2019年 第2期 | 董小桐 Han Chunming Yue Xijuan Zhao Yinghui   Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences Beijing 100094 P. R.China Department of Airbone Remote Sensing Sanya Institute of Remote Sensing Sanya 572029 P.R.China University of Chinese Academy of Sciences Beijing 100049 P.R.China
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摘 要:The scale-invariant feature transform (SIFT) is often applied to extract tie-points for airborne SAR images. When a pair of airborne SAR images differs with look angles obviously, shadow sizes and shapes of same objects will differ obviously. In main and slave SAR images, key-points around shadows often match as tie-points, although they are not homologous points. The phenomenon worsens the performance of SIFT on SAR images. On the basis of SIFT, a modified matching method is proposed to decrease the number of incorrect tie-points. High-resolution airborne SAR images are used in Experiments. Experiment results show that the proposed method is very effective to extract correct tie-points for SAR images.
【分 类】【自然科学总论】
【关键词】 scale-invariant feature transform (SIFT) AIRBORNE InSAR images tie-points EXTRACTION image COREGISTRATION
【出 处】 《高技术通讯:英文版》2019年 第2期 160-165页 共6页
【收 录】 中文科技期刊数据库