Effects of Jpeg Compression on the Accuracy of Digital Terrain Models Automatically Derived from Digital Aerial Images

2001 ◽  
Vol 17 (98) ◽  
pp. 331-342 ◽  
Author(s):  
Kent W. Lam ◽  
Zhilin Li ◽  
Xiuxiao Yuan
Keyword(s):  
Jpeg Compression ◽  
Aerial Images ◽  
Digital Terrain Models ◽  
Digital Terrain ◽  
Terrain Models

scholarly journals Multipass hierarchical stereo matching for generation of digital terrain models from aerial images

1998 ◽  
Vol 10 (5-6) ◽  
pp. 280-291 ◽  
Author(s):  
Yi-Ping Hung ◽  
Chu-Song Chen ◽  
Kuan-Chung Hung ◽  
Yong-Sheng Chen ◽  
Chiou-Shann Fuh
Keyword(s):  
Stereo Matching ◽  
Aerial Images ◽  
Digital Terrain Models ◽  
Digital Terrain ◽  
Terrain Models

scholarly journals IMG2nDSM: Height Estimation from Single Airborne RGB Images with Deep Learning

2021 ◽  
Vol 13 (12) ◽  
pp. 2417
Author(s):  
Savvas Karatsiolis ◽  
Andreas Kamilaris ◽  
Ian Cole
Keyword(s):  
Deep Learning ◽  
State Of The Art ◽  
Aerial Imagery ◽  
Aerial Images ◽  
Surface Model ◽  
Large Area ◽  
Digital Terrain ◽  
Terrain Models ◽  
Architectural Features ◽  
Rgb Images

Estimating the height of buildings and vegetation in single aerial images is a challenging problem. A task-focused Deep Learning (DL) model that combines architectural features from successful DL models (U-NET and Residual Networks) and learns the mapping from a single aerial imagery to a normalized Digital Surface Model (nDSM) was proposed. The model was trained on aerial images whose corresponding DSM and Digital Terrain Models (DTM) were available and was then used to infer the nDSM of images with no elevation information. The model was evaluated with a dataset covering a large area of Manchester, UK, as well as the 2018 IEEE GRSS Data Fusion Contest LiDAR dataset. The results suggest that the proposed DL architecture is suitable for the task and surpasses other state-of-the-art DL approaches by a large margin.

scholarly journals Nationwide Digital Terrain Models for Topographic Depression Modelling in Detection of Flood Detention Areas

Water ◽  
2014 ◽  
Vol 6 (2) ◽  
pp. 271-300 ◽  
Author(s):  
Jenni-Mari Vesakoski ◽  
Petteri Alho ◽  
Juha Hyyppä ◽  
Markus Holopainen ◽  
Claude Flener ◽  
...  
Keyword(s):  
Digital Terrain Models ◽  
Digital Terrain ◽  
Terrain Models
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