A rural land consolidation potential intelligent identification method and device

By combining high-resolution remote sensing imagery and a random forest classification model with participatory surveys, the problems of accuracy and spatial certainty in identifying the potential for rural land consolidation were solved, enabling refined management of rural land reuse.

CN115601651BActive Publication Date: 2026-06-12BEIJING NORMAL UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING NORMAL UNIVERSITY
Filing Date
2022-09-02
Publication Date
2026-06-12

AI Technical Summary

⚠Technical Problem

Existing technologies for identifying the potential for rural land consolidation lack accuracy at a small scale. The current per capita or household construction land area is too high, leading to overestimation of the identification results. Furthermore, the accuracy of idle land sampling survey results depends on the sample size, making it difficult to meet the needs of refined rural land management.

⚗Method used

By combining high-resolution remote sensing image data and a random forest classification model with participatory surveys, potential rural land consolidation plots are identified through land cover feature extraction and constrained segmentation. The identification results are then corrected to improve the accuracy and spatial certainty of the identification.

🎯Benefits of technology

It has enabled the accurate identification of potential rural land consolidation sites, ensuring more precise scale and spatial location of the identification results, reducing workload, and providing a basis for refined management of rural land reuse.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a rural land consolidation potential intelligent identification method and device, obtains a rural land object to be consolidated through spatial range vector data and high-resolution remote sensing image data of the rural land to be consolidated, extracts image features of the rural land object to be consolidated, establishes a rural land consolidation potential identification model, realizes automatic identification of the rural land consolidation potential, and corrects the identified potential land block through a participatory survey. The application fully utilizes the advantages of rich and diverse ground object information of high-resolution remote sensing images, realizes intelligent identification of the rural land consolidation potential land block in a manner that random forest classification identification is combined with participatory survey, and makes the identified consolidation potential land block more accurate in scale, more accurate in spatial position and higher in available degree.
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