Buildings and Trees Extraction in the Overlapped Area by Lidar and Aerial Digital Image Data
碩士 === 國立中山大學 === 海洋環境及工程學系研究所 === 95 === In recent years, many researches focused on the supervised classification, one of the machine learning methods, using Lidar and remotely sensed image to provide the four buildings, trees, roads, and grass categories of the ground features. However, buildings...
Main Authors: | Yueh-shu Chen, 陳月淑 |
---|---|
Other Authors: | Shiahn-Wern Shyue |
Format: | Others |
Language: | zh-TW |
Published: |
2007
|
Online Access: | http://ndltd.ncl.edu.tw/handle/5f8cu9 |
Similar Items
-
AUTOMATED EXTRACTION OF BUILDINGS FROM AERIAL LIDAR POINT CLOUDS AND DIGITAL IMAGING DATASETS
by: A. Jamali, et al.
Published: (2019-10-01) -
AUTOMATIC BUILDING EXTRACTION USING A DECISION TREE OBJECT-BASED CLASSIFICATION ON JOINT USE OF AERIAL AND LIDAR DATA
by: R. Ghasemi Nejad, et al.
Published: (2019-10-01) -
DETECTION OF TREE CROWNS BASED ON RECLASSIFICATION USING AERIAL IMAGES AND LIDAR DATA
by: S. Talebi, et al.
Published: (2013-09-01) -
Automatic building extraction using LiDAR and aerial photographs
by: Melis Uzar, et al. -
AERIAL IMAGERY AND LIDAR DATA FUSION FOR UNAMBIGUOUS EXTRACTION OF ADJACENT LEVEL-BUILDINGS’ FOOTPRINTS
by: S. Mola Ebrahimi, et al.
Published: (2017-09-01)