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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

satvit

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

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

stabilized-hide-mk

Stabilized Hierarchical DNN with multiple knockoffs

taffn

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

xingyaxuan