yfeng997 / satellite_building_detection.pytorch
Experiments to detect and classify residential buildings from satellite images
☆33Updated 5 years ago
Alternatives and similar repositories for satellite_building_detection.pytorch
Users that are interested in satellite_building_detection.pytorch are comparing it to the libraries listed below
Sorting:
- Mask RCNN trained to detect buildings from the SpaceNet Off Nadir dataset☆17Updated 5 years ago
- We propose a simple yet efficient technique to leverage semantic segmentation model to extract and separate individual buildings in dense…☆95Updated 3 years ago
- Automated Building Detection using Deep Learning☆101Updated 4 months ago
- Satellite image processing pipeline to classify land-cover and land-use☆82Updated 7 years ago
- Urban change model designed to identify changes across 2 timestamps☆61Updated last year
- A Semantic Segmentation Network for Urban-Scale Building Footprint Extraction Using RGB Satellite Imagery☆67Updated last year
- The SpaceNet 7 Baseline Algorithm☆33Updated 4 years ago
- ☆51Updated last year
- Codebase for land cover classification with U-Net☆19Updated 6 years ago
- An open-source semi-automated processing chain for urban OBIA classification.☆75Updated 4 years ago
- ☆30Updated 8 months ago
- Building Extraction / Semantic Segmentation from remote sensing images☆38Updated 2 years ago
- NGA Deep Learning☆27Updated 3 years ago
- Experimenting with convolutional neural networks (CNN) to detect buildings in satellite imagery☆12Updated 7 years ago
- Road network extraction from satellite imagery, with speed and travel time estimates☆68Updated 4 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
- Super-Resolution Utilities for managing large satellite images☆16Updated 6 years ago
- This project is to identify buildings in satellite using Unet and masking method☆10Updated 6 years ago
- Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed…☆72Updated 2 years ago
- Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.☆195Updated last year
- Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery☆96Updated last year
- This repository is a complete walkthrough to download the "landcovernet" dataset that contains label masks for Sentinel 2 images from Afr…☆22Updated 4 years ago
- Urbanization detection using computer vision algorithms to reduce the reliance on the data of government surveys, which will speed up the…☆17Updated 5 years ago
- Road Detection from satellite images using U-Net.☆56Updated last year
- ☆31Updated 8 years ago
- A sample project demonstrating how to extract building footprints from satellite images using a semantic segmentation model. Data from th…☆105Updated 4 years ago
- Exploring the use of machine learning to convert a Digital Surface Model (e.g. SRTM) to a Digital Terrain Model☆67Updated 4 years ago
- Building-a-nets: robust building extraction from high-resolution remote sensing images with adversarial networks☆32Updated 6 years ago
- A Tensorflow implentation of light UNet framework for remote sensing semantic segmentation task.☆143Updated 4 years ago
- Models for Remote Sensing☆22Updated 4 years ago