A Multi-Sensor Fusion Framework Based on Coupled Residual Convolutional Neural Networks
Posted in Digital Earth, Land use, Publications, Research, VGI Group on Jun 30th, 2020
Multi-sensor remote sensing image classification has been considerably improved by deep learning feature extraction and classification networks. In this recent paper, we propose a novel multi-sensor fusion framework (CResNet-AUX) for the fusion of diverse remote sensing data sources. The novelty of this paper is grounded in three important design innovations:
A unique adaptation of the [...]