satellite-image-deep-learning / techniques

Techniques for deep learning with satellite & aerial imagery

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Object Segmentation Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery (https://github.com/Z-Zheng/FarSeg) (CVPR 2020).
Hyperspectral Image Segmentation FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification (https://github.com/Z-Zheng/FreeNet) (TGRS 2020).
All-Weather Mapping Deep multisensor learning for missing-modality all-weather mapping (https://www.sciencedirect.com/science/article/pii/S0924271620303476) (ISRPS P&RS 2021).
Object Detection HyNet: Hyper-scale object detection network framework for multiple spatial resolution remote sensing imagery (https://www.sciencedirect.com/science/article/pii/S0924271620301167) (ISRPS P&RS 2020)

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