Natalia Verde, PhD (n-verde)

n-verde

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Company:Aristotle University of Thessaloniki, Laboratory of Photogrammetry and Remote Sensing

Location:Greece

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Natalia Verde, PhD's starred repositories

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Language:PythonLicense:MITStargazers:4730Issues:92Issues:528

awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

geemap

A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

Language:PythonLicense:MITStargazers:3427Issues:113Issues:623

SRGAN

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

awesome-remote-sensing-change-detection

List of datasets, codes, and contests related to remote sensing change detection

dea-notebooks

Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:442Issues:59Issues:282

ee-palettes

A set of common color palettes for Google Earth Engine

Language:HTMLLicense:MITStargazers:309Issues:17Issues:2

HighResCanopyHeight

This repository provides inference code to compute canopy height maps from aerial images, as described in the paper "Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar".

Language:PythonLicense:Apache-2.0Stargazers:210Issues:10Issues:11

deafrica-sandbox-notebooks

Repository for Digital Earth Africa Sandbox, including: Jupyter notebooks, scripts, tools and workflows for geospatial analysis with Open Data Cube and xarray

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:175Issues:18Issues:83

ChangeDetectionToolbox

MATLAB Toolbox for Remote Sensing Change Detection

Language:MATLABLicense:NOASSERTIONStargazers:168Issues:8Issues:11

sr4rs

Super resolution for remote sensing

Language:PythonLicense:MITStargazers:162Issues:4Issues:65

arosics

AROSICS - Automated and Robust Open-Source Image Co-Registration Software

Language:PythonLicense:Apache-2.0Stargazers:145Issues:9Issues:42

Heterogeneous_CD

This repository contains the software developed for the project of Heterogeneous Change Detection in Remote Sensing Images.

deep_residual_unet

Keras implementation of Road Extraction by Deep Residual U-Net article

Language:PythonStargazers:102Issues:2Issues:0

sen2like

The main goal of Sen2Like is to generate Sentinel-2 like harmonised/fused surface reflectances with higher periodicity by integrating additional compatible optical mission sensors.

bap

Best Available Pixel calculation using Google Earth Engine

Language:JavaScriptLicense:MITStargazers:55Issues:5Issues:2

kNDVI

Kernel vegetation indices and the kernel NDVI

arop

Automated Registration and Orthorectification Package

Language:Jupyter NotebookLicense:MITStargazers:18Issues:2Issues:0

inria-aerial-image-labeling

Inria Aerial Image Labeling - Building Footprint Extraction using Deep Semantic Segmentation

Language:PythonLicense:GPL-3.0Stargazers:15Issues:0Issues:0

change-detection-remotesensingimagery

This repository contains the project "Change Detection in Land Usage using Remote Sensing Imangery" completed at Bhaskaracharya Insitutute for Space Applications and Geo-Informatics under Dr. Manoj Pandya from May 2019 to July 2019

Language:PythonStargazers:14Issues:3Issues:0

earth-engine

Apply machine learning approaches to identify vegetation classes using topographic, spectral and spatial variables.

Language:JavaScriptStargazers:6Issues:1Issues:0
Language:Jupyter NotebookStargazers:5Issues:3Issues:0

rtsVis

:exclamation: This is a read-only mirror of the CRAN R package repository. rtsVis — Raster Time Series Visualization Report bugs for this package: https://github.com/JohMast/rtsVis/issues

Language:RStargazers:2Issues:0Issues:0

FFT-based-remote-sensing-image-color-transformation

The code is based on Fourier transform, this program can make the color of remote sensing images of two periods more similar, which is very useful when studying change detection comparison

Language:PythonLicense:MITStargazers:2Issues:1Issues:0