Semi-Supervised Change Detection With Fourier-Based Frequency Transformation
Author:
Affiliation:
1. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/4609443/10330207/10557623.pdf?arnumber=10557623
Reference65 articles.
1. Toward a Generalizable Image Representation for Large-Scale Change Detection: Application to Generic Damage Analysis
2. Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters
3. Change Detection From Very-High-Spatial-Resolution Optical Remote Sensing Images: Methods, applications, and future directions
4. Fully Convolutional Networks for Multisource Building Extraction From an Open Aerial and Satellite Imagery Data Set
5. Competition between biogeochemical drivers and land-cover changes determines urban greening or browning
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