Hybridizing Cross-Level Contextual and Attentive Representations for Remote Sensing Imagery Semantic Segmentation
Semantic segmentation of remote sensing imagery is a fundamental task in intelligent interpretation.Since deep convolutional neural networks (DCNNs) performed considerable insight in learning implicit representations from Respiratory Care data, numerous works in recent years have transferred the DCNN-based model to remote sensing data analysis.Howe