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6 search results found

Classification Of Hyperspectral Image ⭐ 73

Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network

DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.

Pansharpening by convolutional neural networks in the full resolution framework

Unstructured Change Detection Using Cnn ⭐ 34

Unstructured Change detection in satellite imagery

Deep_learning_ecology ⭐ 34

Educational Resources on Neural Networks for Ecology and Remote Sensing

Neural Road Inspector ⭐ 32

After a hurricane, roads are often flooded or washed out, making them treacherous for motorists. Using state of the art deep learning methods, I attempted to automatically annotate flooded, washed out, or otherwise severely damaged roads. My goal is create a tool that can help detect and visualize anomalous roads in a simple user interface.

Orthoseg ⭐ 18

OrthoSeg makes it easy to train neural networks to segment orthophotos.

DeepGeo: Deep Learning for Earth Observation data ToolBox

Minerva project includes the minerva package that aids in the fitting and testing of neural network models. Includes pre and post-processing of land cover data. Designed for use with torchgeo datasets.

Remote_sensing_segmentation ⭐ 12

Semantic segmentation for remote sensing images

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