RSandAI / VHRTreesLinks
A benchmark dataset for deep learning-based tree detection: VHRTrees
☆25Updated 10 months ago
Alternatives and similar repositories for VHRTrees
Users that are interested in VHRTrees are comparing it to the libraries listed below
Sorting:
- ☆78Updated last year
- ☆188Updated 2 years ago
- Dataset for training and evaluating tree detectors in urban environments with aerial imagery☆38Updated last year
- Deepness is a remote sensing plugin that enables deep learning inference in QGIS☆177Updated last week
- Image classification on Sentinel-2 satellite imagery.☆40Updated 2 years ago
- 🌴 A dataset for estimating tropical forest biomass based on drone and field data☆83Updated 3 years ago
- Image segmentations of trees outside forest☆172Updated 3 weeks ago
- Individual tree crown delineation in optical remote sensing images☆108Updated last year
- Python package for automatic tree crown delineation based on the Detectron2 implementation of Mask R-CNN☆226Updated 3 weeks ago
- Benchmark dataset for tree detection for airborne RGB, Hyperspectral and LIDAR imagery☆150Updated 3 years ago
- Code and models for efficient training on the BigEarthNet dataset for Land Use Land Cover classification☆69Updated 3 years ago
- Regularization of Building Boundaries using Adversarial and Regularized losses☆144Updated 2 years ago
- This repository contains details of the release of the Prithvi-EO-2.0 foundation model.☆160Updated 10 months ago
- Semantic segmentation from aerial imagery (baseline of the FLAIR #1 challenge)☆67Updated 3 months ago
- Automated Building Detection using Deep Learning☆102Updated last year
- Python code for the DECODE method and mxnet code for Fractal ResUNet☆51Updated 4 years ago
- Python library for cleaning and regularising building footprints in geospatial data, aligning edges to principal directions and simplifyi…☆210Updated 5 months ago
- Chesapeake RSC dataset introduced in "Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial image…☆54Updated 2 months ago
- AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.☆208Updated this week
- Building footprint segmentation from satellite and aerial imagery☆163Updated last year
- This repository provides inference code to compute canopy height maps from aerial images, as described in the paper "Very high resolution…☆312Updated 8 months ago
- This study investigates the aspect of localizing and counting trees using satellite images to create an inventory of incoming and outgoin…☆81Updated 3 years ago
- ☆132Updated last year
- Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches …☆99Updated 2 years ago
- TerraMind is the first any-to-any generative foundation model for Earth Observation, built by IBM and ESA.☆198Updated this week
- ☆52Updated 2 years ago
- Code repository for the paper Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networ…☆105Updated 3 years ago
- Open source remote sensing dataset with benchmarks☆218Updated last year
- A PyTorch-based tool to generate clouds for satellite images.☆141Updated last year
- crop classification using deep learning on satellite images☆133Updated 4 years ago