Creates an analysis ready sentinel-1 SAR image collection in Google Earth Engine by applying additional border noise correction, speckle filtering and radiometric terrain normalization.

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GPU accelerated earth observation data processors

YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …

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deep learning for image processing including classification and object-detection etc.

Crop Yield Prediction with Deep Learning

国科大c++大作业-五子棋程序

⚫⚪C++实现终端五子棋-中国科学院大学C++选修课（杨力祥）

codes for RS paper: Rice-Yield Prediction with Multi-Temporal Sentinel-2 Data and 3D CNN: A Case Study in Nepal