CHANGE DETECTION FOR HIGH RESOLUTION SATELLITE IMAGES, BASED ON SIFT DESCRIPTORS AND AN A CONTRARIO APPROACH

被引：17
|
作者：
Dellinger, Flora [1 ]
Delon, Julie
Gousseau, Yann [1 ]
Michel, Julien
Tupin, Florence [1 ]
机构：
[1] CNRS, LTCI, Telecom ParisTech, Inst Mines Telecom, Paris, France
来源：
2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2014年
关键词：
SAR image; SIFT; change detection; local descriptors; RANSAC; a contrario methods; image comparison;
D O I：
10.1109/IGARSS.2014.6946667
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In disaster situations, remote sensing images are very useful to quickly assess damages. However, the choice of available images for the studied area is frequently limited. It is often needed to compare images acquired by different sensors and with different acquisition conditions. We propose a new feature-based approach to detect changes between a pair of either optical or radar images. This approach is based on the SIFT algorithm and an a contrario approach. It can deal with multi-resolutions, multi-sensors and multi-incidence angles situations, and it offers promising results.
引用
收藏
页码：1281 / 1284
页数：4
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