Xia Lei's repositories
SSCDenseNet
刘启超, 肖亮, 刘芳, 徐金环. SSCDenseNet:一种空-谱卷积稠密网络的高光谱图像分类算法[J]. 电子学报, 2020, 48(4): 751-762. LIU Qi-chao, XIAO Liang, LIU Fang, XU Jin-huan. SSCDenseNet:A Spectral-Spatial Convolutional Dense Network for Hyperspectral Image Classification. Acta Electronica Sinica, 2020, 48(4): 751-762.
A-3D-CNN-AM-DSC-model-for-hyperspectral-image-classification
2022_RS_Depthwise Separable Convolution&Attention Mechanism(注意力机制和深度可分离残差网络)
BLTSC
This project provides an implementation for "Background Learning Based on Target Suppression Constraint for Hyperspectral Target Detection"
deep_learning_object_detection
A paper list of object detection using deep learning.
DOTA-yolov3
DOTA database training with yolo | 基于DOTA数据集的yolo训练_foryolo5
DOTA_devkit
foryolo5
hsi_toolkit_nomaly_detection
GatorSense Hyperspectral Image Analysis Toolkit
Hyperspectral-Image-Classification-Models
收录及复现的高光谱遥感图像分类模型
Hyperspectral-image-target-detection-based-on-sparse-representation
Hyperspectral image Target Detection based on Sparse Representation
Hypespectral_Visualization_Classification
The repository contains the implementation of PCA + SVM and PCA + Hybrid(2D+3D) CNN implemenatation techniques on Hyperspectral Images(Indian Pines Dataset).
Python-AI
深度学习100例、深度学习DL、图片分类、目标识别、目标检测、自然语言处理nlp、文本分类、TensorFlow、PyTorch
TPPI-Net
PyTorch implementation for hyperspectral image classification. Implemented networks including: TPPI-Net, 1D CNN, 2D CNN, 3D CNN, SSRN, pResNet, HybridSN, SSAN.
yolo_tensorflow
Tensorflow implementation of YOLO, including training and test phase.
yolov5s_for_satellite_imagery
基于YOLOv5的卫星图像目标检测demo | A demo for satellite imagery object detection based on YOLOv5
yolt
You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery