Using convolutional neural networks incorporating hierarchical active learning for target-searching in large-scale remote sensing images
Author:
Affiliation:
1. School of Earth, Atmosphere and Environment, Monash University, Clayton, Australia
2. Cooperative Research Centre for Water Sensitive Cities, Melbourne, Australia
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2020.1714774
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1. Tile-Based Semisupervised Classification of Large-Scale VHR Remote Sensing Images
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5. Improved Estimation of Water Chlorophyll Concentration With Semisupervised Gaussian Process Regression
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