Topic: satellite-images Goto Github
Some thing interesting about satellite-images
Some thing interesting about satellite-images
satellite-images,The Rapid Method for Road Extraction from High-Resolution Satellite Images.
User: abhaykes1
satellite-images,Predicting point-wise path loss through satellite images and height maps using deep learning.
User: ahmarey
satellite-images,ParaView plugins
User: alexeypechnikov
satellite-images,This repository will have all the files of the Automated NOAA weather satellite system.
User: antonjan
satellite-images,Data science project producing sea ice concentration maps from satellite images.
User: asylve
satellite-images,crop classification using deep learning on satellite images
User: bhavesh907
satellite-images,AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
Organization: biasvariancelabs
Home Page: https://aitlas.readthedocs.io/
satellite-images,Build a machine learning model to detect change in Multi-temporal Satellite Images 🌍
User: chaymabouzaidii
satellite-images,A curated list on building detection from remote sensing images
User: chenzhaiyu
satellite-images,A QGIS plugin tool using Segment Anything Model (SAM) to accelerate segmenting or delineating landforms in geospatial raster images.
User: coolzhao
satellite-images,A python package that extends Google Earth Engine.
User: davemlz
Home Page: https://eemont.readthedocs.io/
satellite-images,A curated list of resources focused on Machine Learning in Geospatial Data Science.
User: deepvector
satellite-images,Python package to process images from Landsat tellites and return geographic information, cloud mask, numpy array, geotiff.
User: dgketchum
satellite-images,Satsense is a Python library for land use/cover classification using satellite imagery
Organization: dynaslum
Home Page: https://satsense.readthedocs.io
satellite-images,🗺️ 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.
Organization: earthdaily
satellite-images,Automatic estimation and now-casting of housing deficit using census data and satellite imagery
Organization: el-bid
satellite-images,Urbanization detection using computer vision algorithms to reduce the reliance on the data of government surveys, which will speed up the policy making process.
User: geekysethi
satellite-images,DeepGlobe Land Cover Classification Challenge遥感影像语义分割
User: generalli95
Home Page: https://competitions.codalab.org/competitions/18468#participate
satellite-images,A unified codebase, developed in TensorFlow 2, for a collection of deep neural networks for matching, segmenting and translating acoustic and satellite images.
User: giovgiac
satellite-images,A neural network coded in TensorFlow 1 that produces satellite images from acoustic images.
User: giovgiac
Home Page: https://ieeexplore.ieee.org/abstract/document/8614099
satellite-images,The goal of this project is to create a functional satellite ground station, able to receive VHF transmissions from NOAA sats and more!
Organization: gut-space
Home Page: https://aquarius.klub.com.pl
satellite-images,This repository contains a study how we can examine the vegetation cover of a region with the help of satellite data. The notebook in this repository aims to familiarise with the concept of satellite imagery data and how it can be analyzed to investigate real-world environmental and humanitarian challenges.
User: iam-mhaseeb
satellite-images,Building a Yolov8n model from scratch and performing object detection in optical remote sensing images and videos.
User: johnppinto
satellite-images,Global shoreline mapping tool from satellite imagery
User: kvos
Home Page: http://coastsat.wrl.unsw.edu.au/
satellite-images,Beach-face slope estimation from satellite-derived shorelines, extension of the CoastSat toolbox.
User: kvos
Home Page: http://coastsat.wrl.unsw.edu.au/
satellite-images,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.
User: lakmalnd
satellite-images,1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime
User: liheyoung
Home Page: https://rs.sensetime.com
satellite-images, Satellite Image Classification using semantic segmentation methods in deep learning
User: manideep2510
Home Page: http://inter-iit.tech/events/the-eye-in-the-sky.html
satellite-images,Automatically create machine learning datasets from satellite images
User: michaeltrs
satellite-images,Large satellite image semantic segmentation into 6 classes using Tensorflow 2.0 and ISPRS benchmark dataset.
User: mrsebai
satellite-images,Data Science Research Project: Map poverty using satellite images.
User: nikhilba
satellite-images,Awesome projects, papers, and tools for working with hyperspectral imagery
Organization: nrevyw
Home Page: https://knowledge.wyvern.space/
satellite-images,Satellite imagery for dummies.
User: plant99
satellite-images,Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.
Organization: pylandtemp
satellite-images,Spatiotemporal Arrays, Raster and Vector Data Cubes
Organization: r-spatial
Home Page: https://r-spatial.github.io/stars/
satellite-images,Implementing a remote sensing object detector using Tensorflow object detection API
User: r-stefano
Home Page: http://www.stefanorosa.me/topicboard/artificialIntelligence/carDetection
satellite-images,Dealing with Multiplatform Satellite Images from Landsat, MODIS, and Sentinel
Organization: ropensci
Home Page: https://docs.ropensci.org/rsat/
satellite-images,Pre-trained VGG-Net Model for image classification using tensorflow
User: sakhrihoussem
satellite-images,Techniques for deep learning with satellite & aerial imagery
Organization: satellite-image-deep-learning
satellite-images,python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.
User: seyed-ali-ahmadi
Home Page: https://www.earthobserv.com/
satellite-images,Cloud Detection using Mask RCNN on satellite images (INSAT 3D) on infrared and visible channels provided by ISRO. Project for SIH 2020. Problem statement by ISRO
User: shlokashah
satellite-images,Pytorch code for estimating the presence of the West Nile Disease employing Graph Neural network
User: stevinc
satellite-images,The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
User: syamkakarla98
satellite-images,Satellite image classification using multiple machine learning algorithms
User: tanmay-delhikar
satellite-images,How to use machine learning to find interesting places on satellite maps
Organization: texty
Home Page: http://texty.org.ua/d/2018/amber_eng
satellite-images,Detect water leaks from satellite images using machine learning
User: wassname
satellite-images,GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
Organization: wherobots
Home Page: https://kanchanchy.github.io/geotorchai/
satellite-images,Deep learning based semantic segmentation on satellite images
User: wildphoton
satellite-images,[NeurIPS 2023] Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator
User: xlwangdev
satellite-images,Detecting pools in satellite images
User: yacine-benbaccar
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