Revising Cadastral Data on Land Boundaries Using Deep Learning in Image-Based Mapping
One of the main concerns of land administration in developed countries is to keep the cadastral system up to date. The goal of this research was to develop an approach to detect visible land boundaries and revise existing cadastral data using deep learning. The convolutional neural network (CNN), ba...
| 出版年: | ISPRS International Journal of Geo-Information |
|---|---|
| 主要な著者: | Bujar Fetai, Dejan Grigillo, Anka Lisec |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
MDPI AG
2022-05-01
|
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/2220-9964/11/5/298 |
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