MUYang99 / Pytorch_Remote-Sensing-Image-Classification
Based on Google Earth remote sensing images of Wuhan in 2016, using pre-trained models Alexnet, VGG11, Resnet-50 and Resnet-101 for transfer learning, the classification model can predict the category of unknown remote sensing images with 90.48% accuracy (ResNet-101)
☆27Updated 2 years ago
Related projects: ⓘ
- For the remote sensing scene classification task in complex background, we proposed a lightweight convolutional neural network with bilin…☆38Updated 4 years ago
- AliBahri94 / Remote-Sensing-Image-Classification-via-Improved-Cross-Entropy-Loss-and-Transfer-Learning-StrategyRemote Sensing Image Classification via Improved Cross-Entropy Loss and Transfer Learning Strategy Based on Deep Convolutional Neural Net…☆27Updated 3 years ago
- Deep Leaning (DL) for remote sensing image (RSI) classification.☆32Updated 6 months ago
- Deeplab v3_Plus for semantic segmentation of remote sensing(pytorch)☆46Updated 4 years ago
- Fully Convolutional Siamese Networks for Change Detectionno☆55Updated 5 years ago
- Road extraction of high-resolution remote sensing images based on various semantic segmentation networks☆23Updated 5 years ago
- IEEE GRSL: Integrating spatial details with long-range contexts for semantic segmentation of very high resolution remote sensing images☆29Updated 3 months 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
- experiemntal code for "A semi-supervised generative framework with deep learning features for high-resolution remote sensing image scene …☆33Updated 5 years ago
- Two kinds of full convolution neural network models based on multi-scale feature fusion for cloud area detection of remote sensing image.☆17Updated 4 years ago
- This is the code of the paper Multiple Spectral Resolution 3D Convolutional Neural Network for Hyperspectral Image Classification. And th…☆25Updated 2 years ago
- apply deeplabv3+ into remote sensing field, especially for semantic segmentation.☆14Updated 4 years ago
- Hyperspectral remote sensing image classification based on deep learning☆19Updated 5 years ago
- Boundary Enhancement Semantic Segmentation for Building Extraction from Remote Sensed Image☆25Updated 2 years ago
- paper：Multi-Scale Dense Networks for Hyperspectral Remote Sensing Image Classification☆30Updated 5 years ago
- Remote sensing image classification based on deep learning☆113Updated 2 years ago
- ☆41Updated 4 years ago
- Bin-Zh / Three-dimensional-convolutional-neural-network-model-for-tree-species-classification-using-airborne-Three-dimensional convolutional neural network model for tree species classification using airborne hyperspectral images☆23Updated 2 years ago
- an unoffice reimpliment for main remote sensing change detection network. including CDNet FC-EF FC-EF-conc FC-EF-diff FC-EF-Res FCN-PP U…☆74Updated 4 years ago
- ☆33Updated this week
- 2021“昇腾杯”遥感影像智能处理算法掌握发展过程三等奖（TOP5）方案分析：https://zhuanlan.zhihu.com/p/453136594解决方案说明： train.py 用于训练 test.py 用于推理☆40Updated 2 years ago
- Semantic segmentation of remote sensing image, using DeepLabv3（PyTorch）☆62Updated 5 years ago
- 对高分辨率光学遥感图像中各类地物光谱信息和空间信息进行分析，将图像中具有语义信息的各个像元分别赋予语义类别标签；以包含典型土地利用分类的光学遥感图像为处理对象，使用提供的遥感图像数据集进行土地利 用类型语义分割处理。☆29Updated 4 years ago
- ☆13Updated 2 years ago
- The implementation of FDCNN in paper - A Feature Difference Convolutional Neural Network-Based Change Detection Method☆72Updated 4 years ago
- Code of paper 《Remote Sensing Image Scene Classification Based on an Enhanced Attention Module》☆10Updated 4 years ago
- Convolutional Neural Networks Based Remote Sensing Scene Classification under Clear and Cloudy Environments☆12Updated last year
- The semantic segmentation of remote sensing images☆29Updated 11 months ago
- Pytorch Codes for the paper 'MP-ResNet: Multi-path Residual Network for the Semantic segmentation of High-Resolution PolSAR Images'☆36Updated 3 years ago
- A general framework for change detection of remote sensing images☆31Updated last year