We use semantic segmentation methods to extract water body from Sentinel-1 data
☆16May 6, 2021Updated 4 years ago
Alternatives and similar repositories for Water-body-extraction
Users that are interested in Water-body-extraction are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of image segmentation for identifying water bodies from satellite images☆28May 31, 2025Updated 9 months ago
- Python implementation of Convolutional Neural Network (CNN) proposed in academia☆26Jun 6, 2019Updated 6 years ago
- This repository contains a PyTorch implementation of a U-Net model for segmenting water areas (flood and permananet water) in Sentinel-1 …☆44May 21, 2024Updated last year
- Remote sensing image spatiotemporal fusion algorithm☆13Oct 23, 2022Updated 3 years ago
- Satellite Image Processing, Feature Extraction using Python on level 2A Sentinel 2 satellite imagery to enhance water bodies.☆32Nov 30, 2020Updated 5 years ago
- ☆13Aug 7, 2022Updated 3 years ago
- A hyperspectral data set can be used for testing binary and multi-class change detection techniques.☆13May 20, 2022Updated 3 years ago
- ☆10Mar 22, 2023Updated 2 years ago
- Unsupervised Change Detection https://doi.org/10.1016/j.jag.2023.103635☆15Jan 12, 2024Updated 2 years ago
- MSResNet: Multi-Scale Residual Network via Self-Supervised Learning for Water-Body Detection in Remote Sensing Imagery☆24Jul 10, 2022Updated 3 years ago
- Data Assimilation for Free Surface Flows : 1D Shallow-Water like systems for river network dynamics.☆16Jan 23, 2026Updated last month
- ☆10Jul 29, 2022Updated 3 years ago
- Supervised, Semi-supervised and Unsupervised Domain Adaptation and Transfer Learning☆14Aug 29, 2022Updated 3 years ago
- A computer vision system was built to detect objects in an indoor scene using point clouds using a deep learning approach. PyTorch was us…☆13Jun 28, 2021Updated 4 years ago
- This is tensorflow 2.2 based SCAMET framework for remote sensing image captioning.☆13Aug 10, 2023Updated 2 years ago
- Image/Scene Classification for RemoteSensing Images;Officail Repo for the EarthNets Platform. https://arxiv.org/pdf/2210.04936.pdf☆15Oct 12, 2022Updated 3 years ago
- A difficulty-aware embedding of complementary deep networks for image classification☆13Jul 25, 2024Updated last year
- A multi-module change detection method for multi-temporal SAR images using deep learning☆25Jan 18, 2021Updated 5 years ago
- For☆13Jul 20, 2020Updated 5 years ago
- MSc Thesis - Data Science - UoP & NCSR "Demokritos"☆16Feb 27, 2023Updated 3 years ago
- Floods monitoring with SAR satellite data☆17Oct 16, 2019Updated 6 years ago
- Geomorphically-Informed Discharge Inversion☆12Apr 11, 2023Updated 2 years ago
- InSAR batch processing for Sentinel-1 SAR SLC data with snappy☆19Apr 2, 2018Updated 7 years ago
- SAM模型的基础上,结合Grounding DINO和Clipseg模型生成的矩形框和掩码信息实现高分辨率影像场景下的地物分类和实例分割,通过自定义文本提示的方式实现了影像类别自动分割一切的效果。☆17Aug 22, 2023Updated 2 years ago
- This repository contains a Jupyter Notebook for automatic flood extent mapping using space-based information.☆24Feb 21, 2023Updated 3 years ago
- Able to generate RASOR compliant flood maps from Sentinel-1 SAR images.☆17Apr 14, 2016Updated 9 years ago
- ☆13Sep 28, 2024Updated last year
- Deep Multi-layer Fusion Dense Network for Hyperspectral Image Classification.☆11Apr 25, 2021Updated 4 years ago
- wanghr-git/Remote-sensing-image-classification-based-on-random-forest☆16Apr 27, 2021Updated 4 years ago
- ☆16Dec 7, 2022Updated 3 years ago
- ☆12May 5, 2024Updated last year
- The source code and pre-trained models of PhDnet☆11Sep 27, 2024Updated last year
- This version aims to calculate prependicular baseline for Sentinel-1 TOPS data.☆19May 20, 2019Updated 6 years ago
- Scripts for making InSAR time series☆16Jun 5, 2019Updated 6 years ago
- Code for paper "Deep Multi-View Learning Using Neuron-Wise Correlation-Maximizing Regularizers"☆10Dec 30, 2019Updated 6 years ago
- Supervised classification of hyperspectral image(HSI)☆10Dec 12, 2018Updated 7 years ago
- ☆18Nov 23, 2022Updated 3 years ago
- ☆14Oct 29, 2024Updated last year
- Water Segmentation models trained and analyzed with segmentation-models-pytorch and albumentations libraries.☆20Nov 24, 2022Updated 3 years ago