Affiliations: [a]
Research Institute of Finance Hebei Finance University, Baoding, China
| [b]
Science and Technology Finance Key Laboratory of Hebei Province, Hebei Finance University, Baoding, China
| [c]
Information Management and Engineering Department, Hebei Finance University, Baoding, China
Abstract: Remote sensing image technology is of great significance for dynamic management and monitoring of ground buildings. In order to improve the data fusion ability of remote sensing image of ground buildings, a data fusion method of remote sensing image of ground buildings based on multi-level fuzzy evaluation is proposed. This method constructs a remote sensing image acquisition model of ground buildings, and uses image enhancement methods to realize the gray information analysis and image enhancement of the remote sensing image rate of ground buildings. Finally, combining the remote sensing image data fusion method and the fuzzy region reconstruction method, it reconstructs the pixels of the dynamically changed ground buildings. The simulation results show that the remote sensing image data fusion accuracy of ground buildings is good, and the remote sensing feature extraction accuracy of ground buildings is high. The dynamic real-time monitoring of remote sensing image of ground buildings is realized.
Keywords: Multistage fuzzy evaluation, remote sensing image, data fusion, enhancement, building image
