Change Detection Enhanced by Spatial-Temporal Association for Bare Soil Land Using Remote Sensing Images
Author:
Affiliation:
1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Funder
Project of Dynamic Remote Sensing Monitoring of Bare Soil in Daxing District, Beijing, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/10330207/10292923.pdf?arnumber=10292923
Reference39 articles.
1. Change detection method for high resolution remote sensing images using random forest;feng;Acta Geodaetic Cartograph Sinica,2017
2. Batch normalization: Accelerating deep network training by reducing internal covariate shift;ioffe,2015
3. Change Detection in High Spatial Resolution Images Based on Support Vector Machine
4. MobileNetV2: Inverted Residuals and Linear Bottlenecks
5. DASNet: Dual Attentive Fully Convolutional Siamese Networks for Change Detection in High-Resolution Satellite Images
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1. Synthetic Aperture Radar Image Change Detection Based on Principal Component Analysis and Two-Level Clustering;Remote Sensing;2024-05-23
2. BLEI: Research on a Novel Remote Sensing Bare Land Extraction Index;Remote Sensing;2024-04-26
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