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16 search results found

Techniques ⭐ 7,678

Techniques for deep learning with satellite & aerial imagery

Geospatial Machine Learning ⭐ 196

A curated list of resources focused on Machine Learning in Geospatial Data Science.

Urban change model designed to identify changes across 2 timestamps

Experiments with satellite image data

U Net Satellite ⭐ 51

Road Detection from satellite images using U-Net.

Predicting Poverty Replication ⭐ 50

A Python3 and PyTorch replication of Jean et al. (2016). Original paper Github: https://github.com/nealjean/predicting-poverty

Dubai Satellite Imagery Segmentation ⭐ 45

Multi-Class Semantic Segmentation on Dubai's Satellite Images.

Land Cover Analysis ⭐ 35

Land Cover Change Detection using Satellite Image Segmentation.

Unstructured Change Detection Using Cnn ⭐ 34

Unstructured Change detection in satellite imagery

Planesnet Detector ⭐ 23

Detect airplanes in Planet imagery using machine learning

Deep_typhoon ⭐ 20

Analysis satellite images of typhoons in deep-learning (CNN).

Shipsnet Detector ⭐ 19

Detect container ships in Planet imagery using machine learning

Orthoseg ⭐ 18

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

Frontlearning ⭐ 11

Using neural networks to identify glacier calving fronts from satellite imagery

Super Resolution for Satellite Imagery

Personal Blog ⭐ 9

📔 My personal blog contents.

Park Net Identifying Urban Parks Using Multi Source Spatial Data And Geo Ai ⭐ 8

Project to investigate and develop spatial data-driven Geo-AI models (Convolutional Neural Network) to identify urban greenspace from Satellite images by integrating multiple data sources (e.g. vector data of urban parks)

Object-based CNN

Enhance low resolution image using Convolutional Neural Nets. My solution to European Space Agency's one of its many contest.

Wind Turbine Detector ⭐ 7

Wind Turbine Object Detection from Aerial Imagery Using TensorFlow Object Detection API and Google Colab

Geo Deeplearning ⭐ 6

A list of papers, resources, datasets and code on Deep Learnig applications in Satellite imagery

Semantic_segmentation_satellite_image ⭐ 5

This repository contains all the codes and data for semantic geologic segmentation of Landsat 8 images

Hurricane Wind Speed Cnn ⭐ 5

A convolutional neural network that estimates the wind speed of a hurricane based on its satellite image

Satellite_imagery_ml ⭐ 5

Resunet A ⭐ 5

Implementation of the paper "ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data" in TensorFlow.

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