This is a tensorflow implementation of R2CNN++: Multi-Dimensional Attention Based Rotation Invariant Detector with Robust Anchor Strategy.
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Updated
Jun 14, 2021 - Python
This is a tensorflow implementation of R2CNN++: Multi-Dimensional Attention Based Rotation Invariant Detector with Robust Anchor Strategy.
This is an official implementation for "Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors“ (AAAI 2023))
MIAmi Phase Linking in PYthon
Open-source interface for processing recreation-grade side scan sonar datasets and reproducibly mapping benthic habitat
Gaia is a geospatial analysis library jointly developed by Kitware and Epidemico.
A lightweight Python package for interactive mapping with Earth Engine and folium
SOTA method on Potsdam and Vaihingen datasets, based on HRNet.
2021 Learning to Understand Aerial Images Challenge on DOTA dataset
On the generalization ability of probabilistic neural networks for hyperspectral remote sensing of absorption properties across optically complex waters
A simple example of a machine learning library for land-cover classification
syntreesizer tries to offer a consistent interface to the ArcGIS CityEngine
AI-powered satellite analysis for agriculture using Sentinel-2 data—vegetation indices and farmer insights.
Tool creating raster time series stacks from S-1 GRD scenes and extracting time series info using shapefiles
SLFMC: Seasonal Live Fuel Moisture Content
These scripts are designed to automate the process of creating basic metadata for Cartosat imagery downloaded from the Bhoonidhi portal. They also handle the extraction of image footprints from ZIP files and renaming the extracted files. Additionally, the repository includes scripts that convert the downloaded images into 8-bit format.....
This repository presents the Colour Pattern Regression (CPR) algorithm QGIS3 plugin. The code determines the relationship between aerial images and raster maps according to the decomposition into RGB spaces of the aerial images and the calculation of a linear regression with the raster map using three coefficients - one for each RGB space.
Vegetation Statistics (NDVI), mapping and email reporting using the GEE python API and beautifulsoup
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