Image Matching Algorithm for Remote Sensing based on FAST-9 and SURF
- 10.2991/iwmecs-15.2015.65How to use a DOI?
- Remote Sensing; Image Matching; FAST-9; SURF.
A novel remote sensing image matching algorithm based on FAST-9 and SURF is proposed. Firstly, the FAST-9 is employed to detect feature points for remote sensing images, and the ID3 algorithm and non maximum method are used to determine the correct corners. And then, main orientation is assigned by the circular region around the interest point. The SURF descriptor is constructed by the square region aligned to the selected orientation. Finally, the matching pairs are calculated by the nearest neighbor distance matching method. Experimental results show that the proposed matching algorithm is effective for remote sensing images, which has excellent invariance.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Hao Wu AU - Wei Yang AU - Jun Liu PY - 2015/10 DA - 2015/10 TI - Image Matching Algorithm for Remote Sensing based on FAST-9 and SURF BT - Proceedings of the 2015 2nd International Workshop on Materials Engineering and Computer Sciences PB - Atlantis Press SP - 331 EP - 334 SN - 2352-538X UR - https://doi.org/10.2991/iwmecs-15.2015.65 DO - 10.2991/iwmecs-15.2015.65 ID - Wu2015/10 ER -