radres333 / VHRShips
This study focuses on all stages of ship classification in the optical satellite images. The proposed “Hierarchical Design (HieD)” approach, which is based on deep learning techniques, performs Detection, Localization, Recognition and Identification (DLRI) of the ships in the optical satellite images. HieD is an end-to-end approach which allows …
☆14Updated last year
Related projects ⓘ
Alternatives and complementary repositories for VHRShips
- The implementations of "Unsupervised Domain Adaptation for Remote Sensing Semantic Segmentation with Transformer"☆30Updated last year
- Image segmentation models for building localization and damage assessment based on satellite imagery from the xBD dataset which was used …☆33Updated last year
- A small codebase featuring a few elementary methods for SAR and Optical imagery data fusion☆25Updated 4 years ago
- Semantic-Aware Dense Representation Learning for Remote Sensing Image Change Detection☆35Updated last year
- ☆29Updated last year
- The pytorch implemention of EGCTNet for change detection task☆13Updated last year
- Code and experiments for the paper, "A Change Detection Reality Check", Corley et al.☆43Updated 3 months ago
- Here are the codes for the "TransU-Net++: Rethinking attention gated TransU-Net for deforestation mapping" paper.☆19Updated last year
- Danfeng Hong, Bing Zhang, Hao Li, Yuxuan Li, Jing Yao, Chenyu Li, Martin Werner, Jocelyn Chanussot, Alexander Zipf, Xiao Xiang Zhu. Cros…☆51Updated 10 months ago
- ☆51Updated 2 years ago
- BDANet: Multiscale Convolutional Neural Network with Cross-directional Attention for Building Damage Assessment from Satellite Images☆26Updated last year
- [ICDM 2023] Code implementation of "Learning Efficient Unsupervised Satellite Image-based Building Damage Detection"☆20Updated 8 months ago
- [IEEE TGRS 2024]: The official PyTorch implementation of the paper "MaskCD: A Remote Sensing Change Detection Network Based on Mask Class…☆32Updated 4 months ago
- Hyperspectral Remote Sensing Benchmark Database for Oil Spill Detection with an Isolation Forest-Guided Unsupervised Detector☆20Updated 2 years ago
- Urban change detection with a Dual-Task Siamese network and semi-supervised learning☆21Updated last year
- Dual Stream U-Net architecture for urban change detection using Sentinel-1 and Sentinel-2 data fusion.☆57Updated last year
- ☆24Updated 2 years ago
- Code for the paper "Change Detection in SAR Images Based on Multiscale Capsule Network" IEEE GRSL 2021☆42Updated 3 years ago
- This repository implements a framework to perform semantic segmentation of polarimetric SAR images, coming form Sentinel satellites, usin…☆15Updated 3 years ago
- Scalable Multi-Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change Process (ICCV 2023)☆53Updated last year
- The physics guided and injected learning NN for SAR image patch-wise classification☆28Updated last year
- The network is to identify the outline of water-bodies accurately from very high resolution (VHR) remote sensing imagery, particularly fo…☆24Updated 2 years ago
- Change Detection in Synthetic Aperture Radar Images Using a Dual Domain Network, IEEE GRSL 2022☆58Updated 10 months ago
- This repository contains code for experiments using the winning mode for xView2 "xView2: Assess Building Damage" challenge and a simple …☆22Updated last year
- MSResNet: Multi-Scale Residual Network via Self-Supervised Learning for Water-Body Detection in Remote Sensing Imagery☆19Updated 2 years ago
- This repository is for releasing a dataset for high-resolution satellite imagery☆32Updated 4 years ago
- ☆11Updated 3 years ago
- ☆24Updated last year
- Python codes for the paper "Deep SURE for unsupervised remote sensing image fusion", accepted in TGRS, 2022.☆15Updated last year
- Codes for the benchmark experiments in the paper "Self-supervised Learning in Remote Sensing: A Review"☆36Updated last year