20 results found Sort:
- Filter by Primary Language:
- Python (10)
- Jupyter Notebook (7)
- R (2)
- +
Techniques for deep learning with satellite & aerial imagery
Created
2018-04-16
1,326 commits to master branch, last one 8 days ago
Satellite imagery for dummies.
This repository has been archived
(exclude archived)
Created
2020-07-12
114 commits to master branch, last one 2 years ago
Global shoreline mapping tool from satellite imagery
Created
2018-09-28
495 commits to master branch, last one 2 days ago
Spatiotemporal Arrays, Raster and Vector Data Cubes
Created
2017-01-08
2,059 commits to main branch, last one 2 days ago
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
Created
2022-05-23
207 commits to main branch, last one 8 months ago
A python package that extends Google Earth Engine.
Created
2020-12-18
954 commits to master branch, last one 2 days ago
Satellite Image Classification using semantic segmentation methods in deep learning
Created
2018-12-04
95 commits to master branch, last one about a year ago
1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime
Created
2020-10-19
88 commits to master branch, last one 2 years ago
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
pandas
plotly
python
python3
turorial
tensorflow
data-science
data-analysis
hacktoberfest
hyperspectral
classification
remote-sensing
machine-learning
satellite-images
matplotlib-pyplot
satellite-imagery
hyperspectral-images
indian-pines-dataset
dimensionality-reduction
hyperspectral-image-classification
Created
2019-12-13
60 commits to master branch, last one 2 years ago
A QGIS plugin tool using Segment Anything Model (SAM) to accelerate segmenting or delineating landforms in geospatial raster images.
Created
2023-06-14
307 commits to main branch, last one about a month ago
AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
Created
2020-05-15
549 commits to master branch, last one 21 days ago
Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.
Created
2019-03-05
184 commits to master branch, last one about a year ago
crop classification using deep learning on satellite images
Created
2018-10-16
25 commits to master branch, last one 3 years ago
ParaView plugins
Created
2020-01-05
132 commits to master branch, last one about a year ago
Beach-face slope estimation from satellite-derived shorelines, extension of the CoastSat toolbox.
Created
2020-05-02
24 commits to master branch, last one 2 years ago
How to use machine learning to find interesting places on satellite maps
Created
2018-04-21
84 commits to master branch, last one 2 years ago
Dealing with Multiplatform Satellite Images from Landsat, MODIS, and Sentinel
Created
2020-06-19
420 commits to master branch, last one 2 months ago
Building a Yolov8n model from scratch and performing object detection in optical remote sensing images and videos.
Created
2023-04-23
4 commits to main branch, last one 9 months ago
[NeurIPS 2023] Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator
Created
2023-08-30
12 commits to main branch, last one 2 months ago
Automatically create machine learning datasets from satellite images
Created
2021-02-19
14 commits to main branch, last one 2 years ago