Building footprint extraction using multi-resolution segmentation and support vector machine classification in UiTM Perlis / Muhammad Syamim Nabil Mohd Salleh
Accurate and automated building footprint extraction from high-resolution aerial or satellite imagery is a critical task with numerous applications in urban planning, disaster management, and more. Nevertheless, traditional object-based classification methods often encounter challenges when delineat...
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| フォーマット: | Student Project |
| 言語: | English |
| 出版事項: |
2024
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| オンライン･アクセス: | https://ir.uitm.edu.my/id/eprint/109237/1/109237.pdf https://ir.uitm.edu.my/id/eprint/109237/ |
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