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Height Estimation from Single Aerial Images Using a Deep Ordinal Regression Network
Xiang Li, Mingyang Wang,
Yi Fang
Electrical Engineering
Computer Engineering
Research output
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Article
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peer-review
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Dive into the research topics of 'Height Estimation from Single Aerial Images Using a Deep Ordinal Regression Network'. Together they form a unique fingerprint.
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Earth and Planetary Sciences
Remote Sensing
100%
Photogrammetry
100%
State of the Art
50%
Earth Surface
50%
Coder
50%
Pattern Recognition
50%
Change Detection
50%
Engineering
Aerial Image
100%
Convolutional Neural Network
50%
Experimental Result
25%
Image Matching
25%
Building Block
25%
Multiscale
25%
Network Model
25%
Feature Extraction
25%
Deep Learning
25%
State-of-the-Art Method
25%
Active Research
25%
Smart City
25%
Network Training
25%
Keyphrases
Height Estimation
100%
Dilated Convolution
25%
Spatial Pyramid Pooling
25%
Ordinal Loss
25%
City Modelling
25%
Digital City
25%
Multi-view Image Matching
25%
Multi-scale Feature Extraction
25%
Height Information
25%
Computer Science
Pyramid Pooling Modules
33%