MUYang99 / Pytorch_Remote-Sensing-Image-ClassificationLinks
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)
☆31Updated 3 years ago
Alternatives and similar repositories for Pytorch_Remote-Sensing-Image-Classification
Users that are interested in Pytorch_Remote-Sensing-Image-Classification are comparing it to the libraries listed below
Sorting:
- For the remote sensing scene classification task in complex background, we proposed a lightweight convolutional neural network with bilin…☆42Updated 5 years ago
- Deeplab v3_Plus for semantic segmentation of remote sensing(pytorch)☆46Updated 5 years ago
- Deep Leaning (DL) for remote sensing image (RSI) classification.☆34Updated last year
- Fully Convolutional Siamese Networks for Change Detectionno☆60Updated 6 years ago
- Remote sensing image classification based on deep learning☆126Updated last year
- paper：Multi-Scale Dense Networks for Hyperspectral Remote Sensing Image Classification☆32Updated 6 years ago
- remote sensing image classification and image caption by PyTorch☆55Updated 6 years ago
- AliBahri94 / Remote-Sensing-Image-Classification-via-Improved-Cross-Entropy-Loss-and-Transfer-Learning-Strategy[IEEE Geoscience and Remote Sensing Letters] Remote Sensing Image Classification via Improved Cross-Entropy Loss and Transfer Learning St…☆36Updated 4 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…☆83Updated 5 years ago
- Semantic segmentation of remote sensing image, using DeepLabv3（PyTorch）☆71Updated 6 years ago
- This repository contains the software developed for the project of Heterogeneous Change Detection in Remote Sensing Images.☆117Updated last year
- Hyperspectral remote sensing image classification based on deep learning☆24Updated 7 years ago
- experiemntal code for "A semi-supervised generative framework with deep learning features for high-resolution remote sensing image scene …☆32Updated 6 years ago
- [TGRS 2019] Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images☆89Updated 2 years ago
- Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang. More Diverse Means Better: Multimodal Deep Lear…☆116Updated 11 months ago
- The semantic segmentation of remote sensing images☆41Updated 2 years ago
- 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☆41Updated 3 years ago
- apply deeplabv3+ into remote sensing field, especially for semantic segmentation.☆14Updated 5 years ago
- Road extraction of high-resolution remote sensing images based on various semantic segmentation networks☆26Updated 6 years ago
- IEEE GRSL: Integrating spatial details with long-range contexts for semantic segmentation of very high resolution remote sensing images☆33Updated last year
- Danfeng Hong, JIngliang Hu, Jing Yao, Jocelyn Chanussot, Xiao Xiang Zhu. Multimodal Remote Sensing Benchmark Datasets for Land Cover Clas…☆123Updated 10 months ago
- The pytorch implementation for "Super-resolution-based Change Detection Network with Stacked Attention Module for Images with Different R…☆70Updated 3 years ago
- ☆88Updated 2 years ago
- Code of paper 《Remote Sensing Image Scene Classification Based on an Enhanced Attention Module》☆11Updated 5 years ago
- A python tool to perform deep learning experiments on multimodal remote sensing data.☆94Updated 3 years ago
- 2021珠海数据开放创新应用大赛(卫星遥感数据分析)☆29Updated 4 years ago
- This is the code of the paper Multiple Spectral Resolution 3D Convolutional Neural Network for Hyperspectral Image Classification. And th…☆27Updated 3 years ago
- The project aims to contribute to geoscience community☆68Updated 6 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☆26Updated last year
- Codes for RSIPAC track#2☆37Updated 3 years ago