venkanna37 / Label-Pixels
Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed for extracting the road network from remote sensing imagery and now, it can be used to extract different features from remote sensing imagery.
☆72Updated 2 years ago
Alternatives and similar repositories for Label-Pixels:
Users that are interested in Label-Pixels are comparing it to the libraries listed below
- Land Cover Change Detection using Satellite Image Segmentation.☆49Updated 3 months ago
- Implementation of the paper "ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data" in TensorFlow.☆40Updated 3 years ago
- ☆29Updated 4 years ago
- This repository contains code for implementing multi class semantic segmentation (specifically applied to satellite image classification)…☆47Updated 2 years ago
- Source code and files mentioned in the medium post titled "Is CNN equally shiny on mid-resolution satellite data?" available at https://t…☆49Updated 3 years ago
- GeoTile is the python library for tiling the geographic raster data (eg. Tiff etc)☆82Updated 6 months ago
- Individual tree crown delineation in optical remote sensing images☆95Updated 7 months ago
- Dual Stream U-Net architecture for urban change detection using Sentinel-1 and Sentinel-2 data fusion.☆61Updated 2 years ago
- ☆51Updated last year
- ☆65Updated 9 months ago
- Building Extraction / Semantic Segmentation from remote sensing images☆38Updated 2 years ago
- a tool to convert .shp file (ArcGIS format) to .json file (COCO datasets).☆57Updated 5 years ago
- Open-source codes and annotated datasets in CVEO recent work "Object-based Classification Framework of Remote Sensing Images with Graph C…☆41Updated 2 years ago
- Python code for the DECODE method and mxnet code for Fractal ResUNet☆41Updated 3 years ago
- Field delineation with Sentinel-2 data from Sentinel-Hub and a ResUnet-a architecture.☆154Updated last year
- Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches …☆88Updated last year
- Codebase for land cover classification with U-Net☆19Updated 6 years ago
- a deep model that segments water on multispectral images☆144Updated last year
- Project developed for a Kaggle Competition organised by CentraleSupelec Deep Learning course. Final result: 1st place☆34Updated 2 years ago
- NGA Deep Learning☆28Updated 3 years ago
- Image segmentations of trees outside forest☆162Updated 2 months ago
- A Semantic Segmentation Network for Urban-Scale Building Footprint Extraction Using RGB Satellite Imagery☆67Updated last year
- A toolbox to make deep learning samples from remote sensing images☆34Updated last year
- End-to-end workflow for generating high resolution cropland maps☆106Updated last month
- ML Flood Finder Package from Sentinel 1 (SAR) Imagery☆29Updated 8 months ago
- Image classification on Sentinel-2 satellite imagery.☆34Updated last year
- codes and data for learning from sparse annotations☆54Updated 4 years ago
- A deep learning model for surface water mapping based on satellite optical image.☆102Updated 3 years ago
- Regularization of Building Boundaries using Adversarial and Regularized losses☆137Updated last year
- We propose a simple yet efficient technique to leverage semantic segmentation model to extract and separate individual buildings in dense…☆95Updated 3 years ago