Geometric Correction Algorithm for UAV Remote Sensing Image Based on Neural Network
- https://doi.org/10.2991/aiea-16.2016.11How to use a DOI?
- UAV remote sensing image; Neural network; Geometric correction.
In the process of the UAV (Unmanned Aerial Vehicle) remote sensing image geometric correction, the method of the geometric correction plays a vital role. Since the neural network is a distributed and parallel mathematical model, and it has good learning ability for nonlinear, so the nonlinear and uncertainty of the UVA remote sensing image geometric correction can be solved well. This paper focuses on the application of BP neural network and RBF neural network in UAV remote sensing image geometric correction, and finally compares the effect of the geometric correction based on BP neural network and RBF neural network through the experiments.
- © 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/).
Cite this article
TY - CONF AU - Lirong Diao AU - Riuan Liu AU - Tingting Chen PY - 2016/11 DA - 2016/11 TI - Geometric Correction Algorithm for UAV Remote Sensing Image Based on Neural Network BT - Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications PB - Atlantis Press SP - 59 EP - 63 SN - 2352-538X UR - https://doi.org/10.2991/aiea-16.2016.11 DO - https://doi.org/10.2991/aiea-16.2016.11 ID - Diao2016/11 ER -