Development of deep learning-based fusion method for building detection using LiDAR and very high resolution images
Buildings play an essential role in urban construction, planning, and climate studies. Extracting detailed and accurate information about building such as value, usage, height, and size provides information for town planning, urban management, and three-dimensional (3D) visualization. Building ex...
Saved in:
Main Author: | Nahhas, Faten Hamed |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://psasir.upm.edu.my/id/eprint/92183/1/FK%202019%2055%20-%20IR.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Tree species and aboveground biomass estimation using machine learning, hyperspectral and LiDAR data / Nik Ahmad Faris Nik Effendi
by: Nik Effendi, Nik Ahmad Faris
Published: (2022) -
Development of landslide risk maps using high resolution airborne LiDAR data
by: Mohd Yusof, Norbazlan
Published: (2016) -
Building extraction for 3D city modelling using infused airborne LiDAR and high-resolution aerial photograph
by: Sani, Ojogbane Success
Published: (2021) -
Extraction of building outline using LiDAR datasets / Muhamad Akmal Hilmi
by: Hilmi, Muhamad Akmal
Published: (2022) -
Hybrid of gaussian and wallis filter for urban area characterization of LiDAR images
by: Alias, Mardhiah
Published: (2013)