A fast detection method for changed land using UAV remote sensing image

DOI

10.2991/aest-16.2016.17How to use a DOI?

Keywords

UAV remote sensing image; SURF algorithm; recursive matching; change detection.

Abstract

This paper proposes a fast detection method for changed land using UAV remote sensing image. Firstly, a series of SURF feature points on the old time phase orthoimage are retrieved and stored into a matching database. Secondly, through the establishment of coarse - fine double matching recursive model to quickly match the new and old time phase images, Whether the change of land use is preliminarily determined by the matching of feature points. Finally, it can be accurately determined whether the suspicious land is appeared through comparative analysis which based on the spectrum and texture of the dual mode comprehensive contrast detection method .Compared to the traditional technology, this method does not need to lay a large number of ground control points, and does not need to splice the UAV images, but can realize the rapid automatic discovery of suspicious objects, which is not only high precision but also saves time and effort.

Copyright

© 2016, 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/).

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TY  - CONF
AU  - Hongfei Huang
AU  - Xiaoguo Zhang
AU  - Jiadong Lv
AU  - Meijiao Xu
PY  - 2016/11
DA  - 2016/11
TI  - A fast detection method for changed land using UAV remote sensing image
BT  - Proceedings of the 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
PB  - Atlantis Press
SP  - 133
EP  - 140
SN  - 1951-6851
UR  - https://doi.org/10.2991/aest-16.2016.17
DO  - 10.2991/aest-16.2016.17
ID  - Huang2016/11
ER  -