Abstract: Multi-class land-cover change detection from bi temporal remote sensing imagery has become a critical task for large-scale Earth observation. Nevertheless, prevailing segmentation-based ...
To study this, we extend the DeGroot model by introducing an AI aggregator that trains on population beliefs and feeds synthesized signals back to agents. We define the learning gap as the deviation ...
Abstract: Hyperspectral image classification using deep learning techniques has received great attention in recent years, considering the powerful spatial feature mining ability of deep learning.
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