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08/16/2022
Unsupervised domain adaptation semantic segmentation of high-resolution remote sensing imagery with invariant domain-level context memory
Semantic segmentation is a key technique involved in automatic interpret...
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11/21/2021
Learning by Active Forgetting for Neural Networks
Remembering and forgetting mechanisms are two sides of the same coin in ...
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07/13/2020
Bottom-up mechanism and improved contract net protocol for the dynamic task planning of heterogeneous Earth observation resources
Earth observation resources are becoming increasingly indispensable in d...
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11/12/2018
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
Accurate and real-time traffic forecasting plays an important role in th...
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10/22/2018
Learning to Measure Change: Fully Convolutional Siamese Metric Networks for Scene Change Detection
The key factor of scene change detection is to learn effective feature t...
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08/04/2017
On the Selective and Invariant Representation of DCNN for High-Resolution Remote Sensing Image Recognition
Human vision possesses strong invariance in image recognition. The cogni...
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05/30/2017
RSI-CB: A Large Scale Remote Sensing Image Classification Benchmark via Crowdsource Data
Remote sensing image classification is a fundamental task in remote sens...
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05/19/2017