ManishSahu53 / Vector-Map-Generation-from-Aerial-Imagery-using-Deep-Learning-GeoSpatial-UNETLinks
We propose a simple yet efficient technique to leverage semantic segmentation model to extract and separate individual buildings in densely compacted areas using medium resolution satellite/UAV orthoimages. We adopted standard UNET architecture, additionally added batch normalization layer after every convolution, to label every pixel in the ima…
☆95Updated 3 years ago
Alternatives and similar repositories for Vector-Map-Generation-from-Aerial-Imagery-using-Deep-Learning-GeoSpatial-UNET
Users that are interested in Vector-Map-Generation-from-Aerial-Imagery-using-Deep-Learning-GeoSpatial-UNET are comparing it to the libraries listed below
Sorting:
- Regularization of Building Boundaries using Adversarial and Regularized losses☆138Updated last year
- Automated Building Detection using Deep Learning☆101Updated 5 months ago
- A Semantic Segmentation Network for Urban-Scale Building Footprint Extraction Using RGB Satellite Imagery☆67Updated last year
- Urban change model designed to identify changes across 2 timestamps☆61Updated last year
- Road network extraction from satellite imagery, with speed and travel time estimates☆68Updated 5 years ago
- Experiments to detect and classify residential buildings from satellite images☆33Updated 5 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
- Deep Semangtic segmentation of Worldview-3 satellite images using a U-net (DSTL kaggle competition)☆27Updated 5 years ago
- Super-Resolution Utilities for managing large satellite images☆16Updated 6 years ago
- CDTStudio is an open-source and cross-platform desktop software in object-based image analysis (OBIA or GeoOBIA)☆46Updated 5 years ago
- The winning solutions for the SpaceNet 6 Challenge☆74Updated 4 years ago
- List of labelled remote sensing datasets for use in deep learning.☆58Updated 8 years ago
- Collection of Remote Sensing Resources☆108Updated 3 years ago
- Geoseg - A Computer Vision Package for Automatic Building Segmentation and Outline extraction☆109Updated 3 years ago
- Road and Building Segmentation in Satellite Imagery☆139Updated 2 years ago
- Deep learning with otb (mirror of https://forgemia.inra.fr/orfeo-toolbox/otbtf)☆162Updated last week
- Experiments with satellite image data☆121Updated 5 years ago
- Building Extraction / Semantic Segmentation from remote sensing images☆39Updated 2 years ago
- A curated list on building detection from remote sensing images☆88Updated 5 years ago
- ☆51Updated last year
- The SpaceNet 7 Baseline Algorithm☆33Updated 4 years ago
- ☆85Updated last year
- Mask RCNN trained to detect buildings from the SpaceNet Off Nadir dataset☆17Updated 5 years ago
- Road Detection from satellite images using U-Net.☆56Updated last year
- Building footprint segmentation from satellite and aerial imagery☆150Updated 10 months ago
- Unstructured Change detection in satellite imagery☆59Updated 5 years ago
- Using Pytorch implementation of U-Net architecture for road and building extraction☆124Updated 6 years ago
- Benchmark dataset for tree detection for airborne RGB, Hyperspectral and LIDAR imagery☆141Updated 3 years ago
- Training dataset for supervised learning☆57Updated 5 years ago
- Road Extraction based on U-Net architecture (CVPR2018 DeepGlobe Challenge submission)☆83Updated 6 years ago