shamwq
PhD student in central south university China, Research direction is GNSS Interferometric Reflectrometry and deep learning for land cover.
student in central south university china pakistan
Pinned Repositories
MultiTemporal-MultiSpectral-RemoteSensing-CropClassification
Crop Classification of Remotely Sensed Images containing Multi Temporal and Multispectral Information
NIDS-1D_CNN-GA_PSO
Hyperparameter Optimization for 1D-CNN-Based Network Intrusion Detection Using GA and PSO
3DFCNwithIOUlossforCropMapping
Implementation of "3D Fully Convolutional Neural Networks with Intersection Over Union Loss for Crop Mapping from Multi-Temporal Satellite Images"
AIA_FCN_Crop_classification
Download Satellite Data for AIA group project
ARSET23
awesome-sar
A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.
cnn-with-xgboost
This repository is codeabout cnn with xgboost
Crop-Classification
Identifying crops in farms using satellite images
crop-mask
End-to-end workflow for generating high resolution cropland maps
crop-type-mapping
Crop type mapping of small holder farms in Ghana, and South Sudan
shamwq's Repositories
shamwq/NIDS-1D_CNN-GA_PSO
Hyperparameter Optimization for 1D-CNN-Based Network Intrusion Detection Using GA and PSO
shamwq/3DFCNwithIOUlossforCropMapping
Implementation of "3D Fully Convolutional Neural Networks with Intersection Over Union Loss for Crop Mapping from Multi-Temporal Satellite Images"
shamwq/AIA_FCN_Crop_classification
Download Satellite Data for AIA group project
shamwq/ARSET23
shamwq/Crop-Classification
Identifying crops in farms using satellite images
shamwq/crop-mask
End-to-end workflow for generating high resolution cropland maps
shamwq/crop-type-mapping
Crop type mapping of small holder farms in Ghana, and South Sudan
shamwq/CroplandMappingCDL
shamwq/CropMappingInterpretation
Official implementation of "An interpretation pipeline towards understanding multi-temporal deep learning approaches for crop mapping".
shamwq/Crops--Classification-ML-DL
Classification of different types of crops using machine learning and deep learning
shamwq/DeepCropMapping
Official implementation of "DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping".
shamwq/DomainAdaptationCashewCropMapping_MGIThesis
shamwq/fusion_cgan
Master thesis project for a multi temporal cGAN for data fusion on Sentinel's images.
shamwq/GANs-for-agriculture
Estimación de imágenes NDVI mediante fusión de imágenes satelitales multiespectrales y SAR para la planeación agrícola
shamwq/Landsat-Classification-Using-Neural-Network
All the files mentioned in the article on Towards Data Science Neural Network for Landsat Classification Using Tensorflow in Python | A step-by-step guide.
shamwq/LandslideDetection-from-satellite-imagery
Landslide Detection from satellite imagery
shamwq/MarCoru-crop-type-mapping
Source code to Rußwurm & Körner 2019. Self-Attention for Raw Optical Satellite Time Series Classification
shamwq/master-thesis
Detection of manure application on crop fields leveraging satellite data and Machine Learning.
shamwq/MT-PolSAR-Change-Detection-For-Crop-Monitoring-And-Classification
Repository associated with the paper: Multi-Temporal Polarimetric SAR (MT-PolSAR) Change Detection For Crop Monitoring And Crop Type Classification
shamwq/multi-stage-convSTAR-network
[RSE 2021] Crop mapping from image time series: deep learning with multi-scale label hierarchies
shamwq/multi-temporal-crop-classification-training-data
This repository contains the pipeline for generating a training dataset for land cover and crop type segmentation using USDA CDL data.
shamwq/MultiClass-Classifier
Repository contains work on a multi-class classification problem. It is about classifying crops based on temporal values of NDVI and SWIR sensor readings.
shamwq/MultiTemporal-MultiSpectral-RemoteSensing-CropClassification
Crop Classification of Remotely Sensed Images containing Multi Temporal and Multispectral Information
shamwq/NDVI
shamwq/openmapflow
Rapid map creation with machine learning and earth observation data.
shamwq/otbtf_tutorials_resources
Deep learning tutorials using Orfeo ToolBox and TensorFlow
shamwq/PLaTYPI
ECE471 Final Project: Crop Yield Prediction
shamwq/ppgcc-deep-learning-pinn
Graduate deep learning course projects: Physics-informed neural networks for simulating physical systems and CNN-based wildfire prediction models.
shamwq/techniques
Techniques for deep learning with satellite & aerial imagery
shamwq/zirconCNN