Crop Classification
crop classification using deep learning on satellite images
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Raster Vision | 1,956 |  | 7 | 3 months ago | 11 | October 17, 2023 | 42 | other | Python | |
| An open source library and framework for deep learning on satellite and aerial imagery. | ||||||||||
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| Satellite image time series in R | ||||||||||
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| 🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch. | ||||||||||
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| A curated list of resources focused on Machine Learning in Geospatial Data Science. | ||||||||||
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| AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images. | ||||||||||
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| Code for constructing the urban environments dataset and for land use classification via convolutional neural networks | ||||||||||
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| Deep learning courses and projects | ||||||||||
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| A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification | ||||||||||
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| Deep Neural Network with keras(TensorFlow GPU backend) Python: Satellite-Image Classification | ||||||||||
| Deephypercnn | 19 | 7 years ago | 3 | mit | Matlab | |||||
| Classification of Hyperspectral Satellite Image Using Deep Convolutional Neural Networks | ||||||||||
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Jupyter Notebook
Deep Learning
Dataset
Classification
Crop
Satellite