Research and application of intelligent verification technology for authenticity of homestead reclamation project based on deep learning

doi:10.13474/j.cnki.11-2246.2023.0028

Abstract

Abstract: The review of homestead reclamation project under the background of region-wide comprehensive renovation is an effective means to ensure the legality and compliance of the reclamation project. Aiming at the low review efficiency of the current homestead reclamation project, a authenticity review method of rural homestead reclamation project was proposed based on remote sensing images. Taking the rural housing land reclamation project in Chongqing as an example, the paper establishes the authenticity review model of housing land reclamation project, and uses the improved U-Net to accurately extract buildings, and then superimpose with the reclamation red line to realize the intelligent authenticity review of the housing land reclamation project. The experimental results show that this method can quickly and accurately examine the authenticity of residential land reclamation projects, which is of great significance to optimize land structure, promote land circulation and promote rural revitalization. It can provide technical reference for the authenticity examination of residential land reclamation projects under the background of regional comprehensive renovation.

Key words: comprehensive regulation in all areas, homestead reclamation, convolutional neural network, semantic segmentation, building extraction

CLC Number:

P208

XIANG Yu, HUANG Zhi, HUA Yuanyuan, DENG Jianfeng. Research and application of intelligent verification technology for authenticity of homestead reclamation project based on deep learning[J]. Bulletin of Surveying and Mapping, 2023, 0(1): 163-167.

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