AliBahri94 / Remote-Sensing-Image-Classification-via-Improved-Cross-Entropy-Loss-and-Transfer-Learning-Strategy
Remote Sensing Image Classification via Improved Cross-Entropy Loss and Transfer Learning Strategy Based on Deep Convolutional Neural Networks
☆27Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for Remote-Sensing-Image-Classification-via-Improved-Cross-Entropy-Loss-and-Transfer-Learning-Strategy
- experiemntal code for "A semi-supervised generative framework with deep learning features for high-resolution remote sensing image scene …☆33Updated 5 years ago
- Based on Google Earth remote sensing images of Wuhan in 2016, using pre-trained models Alexnet, VGG11, Resnet-50 and Resnet-101 for trans…☆28Updated 2 years ago
- Deep Leaning (DL) for remote sensing image (RSI) classification.☆32Updated 7 months ago
- For the remote sensing scene classification task in complex background, we proposed a lightweight convolutional neural network with bilin…☆39Updated 4 years ago
- Deeplab v3_Plus for semantic segmentation of remote sensing(pytorch)☆46Updated 4 years ago
- The code of Adaptive Fusion Network for Remote Sensing Image Semantic Segmentation.☆9Updated 4 years ago
- The semantic segmentation of remote sensing images☆32Updated last year
- Road extraction of high-resolution remote sensing images based on various semantic segmentation networks☆24Updated 5 years ago
- Boundary Enhancement Semantic Segmentation for Building Extraction from Remote Sensed Image☆26Updated 3 years ago
- Code of paper 《Remote Sensing Image Scene Classification Based on an Enhanced Attention Module》☆10Updated 4 years ago
- ☆27Updated 5 years ago
- Weakly supervised Deep learning based Cloud Detection (WDCD)☆21Updated last year
- Semantic segmentation for remote sensing images☆20Updated 3 years ago
- Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery☆31Updated 4 years ago
- The implementations of "Unsupervised Domain Adaptation for Remote Sensing Semantic Segmentation with Transformer"☆30Updated last year
- Pytorch Codes for the paper 'MP-ResNet: Multi-path Residual Network for the Semantic segmentation of High-Resolution PolSAR Images'☆37Updated 3 years ago
- codes for TGRS paper: Graph Relation Network: Modeling Relations between Scenes for Multi-Label Remote Sensing Image Classification and R…☆36Updated 4 years ago
- ☆30Updated last year
- IEEE GRSL: Integrating spatial details with long-range contexts for semantic segmentation of very high resolution remote sensing images☆29Updated 5 months ago
- Codes for paper "Semantic Segmentation of Remote Sensing Images With Self-Supervised Multitask Representation Learning"☆31Updated 3 years ago
- ☆40Updated last year
- Semantic segmentation of remote sensing image, using DeepLabv3(PyTorch)☆65Updated 5 years ago
- 2021珠海数据开放创新应用大赛(卫星遥感数据分析)☆28Updated 3 years ago
- MSResNet: Multi-Scale Residual Network via Self-Supervised Learning for Water-Body Detection in Remote Sensing Imagery☆19Updated 2 years ago
- the official TangXu's group released codes about the Remote Sensing images classificaiton☆24Updated 10 months ago
- apply deeplabv3+ into remote sensing field, especially for semantic segmentation.☆14Updated 4 years ago
- ResUnetA implementation with pytorch example remote sensing image☆12Updated 4 years ago
- A Semantic Segmentation Method for Remote Sensing Images Combining CNN and Transformer.☆25Updated last year
- This repository is for releasing a dataset for high-resolution satellite imagery☆31Updated 4 years ago
- Codes for the 'Direction-aware Residual Network for Road Extraction in VHR Remote Sensing Images'☆40Updated 3 years ago