satellite-images
There are 126 repositories under satellite-images topic.
satellite-image-deep-learning/techniques
Techniques for deep learning with satellite & aerial imagery
plant99/felicette
Satellite imagery for dummies.
kvos/CoastSat
Global shoreline mapping tool from satellite imagery
r-spatial/stars
Spatiotemporal Arrays, Raster and Vector Data Cubes
deepVector/geospatial-machine-learning
A curated list of resources focused on Machine Learning in Geospatial Data Science.
wherobots/GeoTorchAI
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
davemlz/eemont
A python package that extends Google Earth Engine.
manideep2510/eye-in-the-sky
Satellite Image Classification using semantic segmentation methods in deep learning
LiheYoung/SenseEarth2020-ChangeDetection
1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime
syamkakarla98/Hyperspectral_Image_Analysis_Simplified
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
coolzhao/Geo-SAM
A QGIS plugin tool using Segment Anything Model (SAM) to accelerate segmenting or delineating landforms in geospatial raster images.
GeneralLi95/deepglobe_land_cover_classification_with_deeplabv3plus
DeepGlobe Land Cover Classification Challenge遥感影像语义分割
biasvariancelabs/aitlas
AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
pylandtemp/pylandtemp
Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.
bhavesh907/Crop-Classification
crop classification using deep learning on satellite images
chenzhaiyu/awesome-building-detection
A curated list on building detection from remote sensing images
AlexeyPechnikov/ParaView-plugins
ParaView plugins
kvos/CoastSat.slope
Beach-face slope estimation from satellite-derived shorelines, extension of the CoastSat toolbox.
texty/amber-methodology
How to use machine learning to find interesting places on satellite maps
ropensci/rsat
Dealing with Multiplatform Satellite Images from Landsat, MODIS, and Sentinel
JohnPPinto/Object_Detection_Satellite_Imagery_Yolov8_DIOR
Building a Yolov8n model from scratch and performing object detection in optical remote sensing images and videos.
dgketchum/satellite_image
Python package to process images from Landsat tellites and return geographic information, cloud mask, numpy array, geotiff.
xlwangDev/HC-Net
[NeurIPS 2023] Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator
michaeltrs/DeepSatData
Automatically create machine learning datasets from satellite images
SakhriHoussem/Image-Classification
Pre-trained VGG-Net Model for image classification using tensorflow
Seyed-Ali-Ahmadi/Python-for-Remote-Sensing
python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.
DynaSlum/satsense
Satsense is a Python library for land use/cover classification using satellite imagery
wassname/satellite_leak_detection
Detect water leaks from satellite images using machine learning
ChaymaBouzaidii/Change-detection-in-multitemporal-satellite-images
Build a machine learning model to detect change in Multi-temporal Satellite Images 🌍
R-Stefano/Remote-Sensing-Analysis
Implementing a remote sensing object detector using Tensorflow object detection API
Nrevyw/awesome-hyperspectral
Awesome projects, papers, and tools for working with hyperspectral imagery
lakmalnd/Vec2Instance
This repository provides an implementation of Vec2Instance over the SpaceNet challenge AOI 2 (Vegas) building footprint dataset. Vec2Instance provides a framework for parametrization of instances, allowing convolutional neural networks to efficiently estimate the complex shapes of instances around their centroids.
geekysethi/Urbanization-change-detection
Urbanization detection using computer vision algorithms to reduce the reliance on the data of government surveys, which will speed up the policy making process.
yacine-benbaccar/Pool-Detection
Detecting pools in satellite images
earthdaily/qgis-plugin
🗺️ To be able to discover, request and use aggregate imagery products based on landsat-8/9, Sentinel 2 and other sensors from within QGIS, using the <geosys/> API.
mrsebai/aerial-tile-segmentation
Large satellite image semantic segmentation into 6 classes using Tensorflow 2.0 and ISPRS benchmark dataset.