Deep Neural Networks for Quantitative Damage Evaluation of Building Losses Using Aerial Oblique Images: Case Study on the Great Wall (China).
Yiping GongFan ZhangXiangyang JiaXianfeng HuangDeren LiZhu MaoPublished in: Remote. Sens. (2021)
Keyphrases
- case study
- aerial images
- neural network
- image database
- satellite images
- input image
- image data
- image analysis
- image registration
- ground truth
- image retrieval
- pattern recognition
- rigid body
- aerial imagery
- image features
- object recognition
- three dimensional
- multiple images
- edge detection
- image collections
- quantitative evaluation
- genetic algorithm
- spatial information
- test images
- aerial photographs
- lighting conditions
- image regions
- design process
- segmentation algorithm
- image classification
- medical images
- multiresolution
- artificial neural networks
- real world