xingyaxuan

ALOS2_AGB

This notebook demonstrates the use of time-series L-band SAR backscatter from ALOS-2 data for extraction of forest above-ground biomass using a modified 3-parameter Water Cloud Model.

DTCDN

A deep translation (GAN) based change detection network for optical and SAR remote sensing images

EEwPython

A series of Jupyter notebook to learn Google Earth Engine with Python

hypelcnn

A Deep Learning Classification Framework with Spectral and Spatial Feature Fusion Layers for Hyperspectral and Lidar Sensor Data

KD-ST

Distillation Knowledge-Based Space-Time Data Prediction on Industrial IoT Edge Devices

polsarpro

A mirror of the Linux version of PolSARPro

salesforecasting

Utilize 2 machine learning models (eXtreme Gradient Boosting and Support Vector Regression) to improve forecast results of 2 traditional methods (Holt’s Exponential Smoothing and Winter’s Exponential Smoothing), and 102 furniture items of a major retailer in Taiwan are applied to the proposed model and the average accuracy (sMAPE) of the best result achieves 93.77%. Additionally, compared to pure Exponential Smoothing models, forecast errors (sMAPE) of the proposed model decreases 46.47% (from 11.64% to 6.23%).

SAR-GGCS

Code for reproducing most of the results in the paper[A Generalized Gaussian Coherent Scatterer Model for Correlated SAR Texture]

sar-image

some codes about gf3 sar image.

SAROptGAN-Satellite-Imagry-Cloud-Removal-by-Implement-GAN-Model-Radar-SAR-and-Multispectral-Data

This notebook is a set tools that can implement cloud removal in multispectral data by fusion with Radar SAR data

xingyaxuan/KD-ST

Distillation Knowledge-Based Space-Time Data Prediction on Industrial IoT Edge Devices

xingyaxuan/ALOS2_AGB

This notebook demonstrates the use of time-series L-band SAR backscatter from ALOS-2 data for extraction of forest above-ground biomass using a modified 3-parameter Water Cloud Model.

xingyaxuan/DTCDN

A deep translation (GAN) based change detection network for optical and SAR remote sensing images

xingyaxuan/EEwPython

A series of Jupyter notebook to learn Google Earth Engine with Python

xingyaxuan/hypelcnn

A Deep Learning Classification Framework with Spectral and Spatial Feature Fusion Layers for Hyperspectral and Lidar Sensor Data

xingyaxuan/polsarpro

A mirror of the Linux version of PolSARPro

xingyaxuan/salesforecasting

Utilize 2 machine learning models (eXtreme Gradient Boosting and Support Vector Regression) to improve forecast results of 2 traditional methods (Holt’s Exponential Smoothing and Winter’s Exponential Smoothing), and 102 furniture items of a major retailer in Taiwan are applied to the proposed model and the average accuracy (sMAPE) of the best result achieves 93.77%. Additionally, compared to pure Exponential Smoothing models, forecast errors (sMAPE) of the proposed model decreases 46.47% (from 11.64% to 6.23%).

xingyaxuan/SAR-GGCS

Code for reproducing most of the results in the paper[A Generalized Gaussian Coherent Scatterer Model for Correlated SAR Texture]

xingyaxuan/sar-image

some codes about gf3 sar image.

xingyaxuan/SAROptGAN-Satellite-Imagry-Cloud-Removal-by-Implement-GAN-Model-Radar-SAR-and-Multispectral-Data

This notebook is a set tools that can implement cloud removal in multispectral data by fusion with Radar SAR data

xingyaxuan/SatViT

Project directory for self-supervised training of multi-spectral optical and SAR vision transformers!

xingyaxuan/SOLC

Remote Sensing Sar-Optical Land-use Classfication Pytorch Pytorch高分辨率遥感语义分割/地物分割/地物分类

xingyaxuan/Stabilized-HiDe-MK

Stabilized Hierarchical DNN with multiple knockoffs

xingyaxuan/TAFFN

This is an implementation for "Triplet Attention Feature Fusion Network for SAR and Optical Image Land Cover Classification".

xingyaxuan/xingyaxuan