Pinned Repositories
12306
12306智能刷票，订票
ac4iw_luts
acolite
ACOLITE: Atmospheric correction for aquatic applications of Landsat and Sentinel-2
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
BIN_GOCI_L2
CloudPlatform
HyperSAS cloudplatform
Cops
R package first developed by Bernard Gentily at LOV.
NoiseReducingFFT
reducing strip noise of remote sensing image based on FFT
RemoteSensing
Remote Sensing scripts, mostly Python
scikit-learn
scikit-learn: machine learning in Python
peterpan83's Repositories
peterpan83/12306
12306智能刷票，订票
peterpan83/ac4iw_luts
peterpan83/acolite
ACOLITE: Atmospheric correction for aquatic applications of Landsat and Sentinel-2
peterpan83/Cops
R package first developed by Bernard Gentily at LOV.
peterpan83/acolite-1
ACOLITE: generic atmospheric correction module
peterpan83/AirGesture
Play games without touching keyboard
peterpan83/asd
R package for ASD
peterpan83/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
peterpan83/cayula
Cayula-Cornillon single image edge detection algorithm
peterpan83/CNN-Based-Hyperspectral-Image-Classification
A TensorFlow implentation of fixed size kernel CNN
peterpan83/CoastSat
Global shoreline mapping tool from satellite imagery
peterpan83/DL-L8S2-UV
Cloud masking for Landsat-8 & Sentinel-2
peterpan83/Face-Detection
peterpan83/geemap
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets
peterpan83/keras-mdn-layer
An MDN Layer for Keras using TensorFlow's distributions module
peterpan83/keras-unet
Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
peterpan83/kornia
Open Source Differentiable Computer Vision Library
peterpan83/mamba
peterpan83/myfirst
just my first
peterpan83/Official_Remote_Sensing_Mamba
Official code of Remote Sensing Mamba
peterpan83/OS_DriverMetadataExtractionCodes_RCM_C-band_SARdata
The RADARSAT Constellation Mission (RCM) refers to three satellites launched in 2019 and operated by the Government of Canada. These satellites collect both C-band Synthetic Aperture Radar (SAR) image data and ship-self-reporting Automatic Identification System (AIS) data from boats and ships. The files in this repository provide: (i) GDAL C++ driver code to open and ingest the C-band SAR images; and (ii) Python code to extract metadata from the C-band SAR images and compute other relevant quantities. These codes have been compiled and run on Windows 10 and Linux Ubuntu 18.04.
peterpan83/Py6S
A Python interface to the 6S Radiative Transfer Model
peterpan83/pymcmarts
generating configure files for mcmarts
peterpan83/python-patterns
A collection of design patterns/idioms in Python
peterpan83/qgis-earthengine-plugin
Integrates Google Earth Engine and QGIS using Python API
peterpan83/sentinelsat
Search and download Copernicus Sentinel satellite images
peterpan83/ukis-csmask
UKIS Cloud Shadow MASK
peterpan83/UNet-Satellite-Image-Segmentation
A Tensorflow implentation of light UNet framework for remote sensing semantic segmentation task.
peterpan83/water-observatory-backend
Monitoring water levels of lakes and reservoirs using satellite imagery
peterpan83/WatNet
A deep learning model for surface water mapping based on satellite optical image.