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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Bibliographic Details
Main Author: Mohd Salleh, Muhammad Syamim Nabil
Format: Student Project
Language:en
Published: 2024
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/109237/1/109237.pdf
https://ir.uitm.edu.my/id/eprint/109237/
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