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Found 4 papers, 1 papers with code
Fast Single-shot Ship Instance Segmentation Based on Polar Template Mask in Remote Sensing Images
Object detection and instance segmentation in remote sensing images is a fundamental and challenging task, due to the complexity of scenes and targets.
Robust Semantic Segmentation By Dense Fusion Network On Blurred VHR Remote Sensing Images
Robust semantic segmentation of VHR remote sensing images from UAV sensors is critical for earth observation, land use, land cover or mapping applications.
Feature Fusion through Multitask CNN for Large-scale Remote Sensing Image Segmentation
In recent years, Fully Convolutional Networks (FCN) has been widely used in various semantic segmentation tasks, including multi-modal remote sensing imagery.
DeepUNet: A Deep Fully Convolutional Network for Pixel-level Sea-Land Segmentation
Semantic segmentation is a fundamental research in remote sensing image processing.
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