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asp

Adaptive Superpixels (DASP, SLIC, ...)

awesome-remote-sensing-change-detection

List of datasets, codes, and contests related to remote sensing change detection

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

converttoutf8

A Sublime Text 2 & 3 plugin for editing and saving files encoded in GBK, BIG5, EUC-KR, EUC-JP, Shift_JIS, etc.

custom-made-sar-speckle-reduction

Spekle reduction of SAR images in matlab using different custom-made filters: -Mean filter. -Frost filter. -Modified frost filter(added thresholds). -Lee filter(Using Masks, ENL ect). Note these fitlers are developed without the use of loops to make them faster.

drbox

A deep learning based algorithm to detect rotated object, for example, objects in remote sensing images

em4gmm

Fast clustering Expectation Maximization algorithm for Gaussian Mixture Models.

image-filter

some filters (boxfilter, fast bilateral filter, fast guided filter and permutohedral bilateral filter)

inference

Reference implementations of MLPerf™ inference benchmarks

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

ml-for-beginners

12 weeks, 24 lessons, classic Machine Learning for all

mog-for-small-target-detection

This source code is for infrared small target detection method based on Mixture of Gaussians (MoG) with Markov random field (MRF) proposed in our paper of PR2018: Chenqiang Gao, Lan Wang, Yongxing Xiao, Qian Zhao,Deyu Meng, “Infrared small-dim target detection based on Markov random field guided noise modeling,” Pattern Recognition, vol. 76, no. Supplement C, pp. 463-475, 2018/04/01/, 2018.

sar-ship-dataset

sar_change_detection_garborpcanet

Matlab code for paper "Automatic Change Detection in Synthetic Aperture Radar Images Based on PCANet", IEEE GRSL 2016

sar_specific_models

sarpy

A basic Python library to demonstrate reading, writing, display, and simple processing of complex SAR data using the NGA SICD standard.

shipdetection

sklearn-doc-zh

:book: [译] scikit-learn（sklearn） 中文文档

slic-superpixels

Implementation of the SLIC superpixel algorithm to work with OpenCV

spectral-recursive-filter

This is a sample implementation of the spectral recursive filter, which is a fast and accurate constant-time Gaussian filtering algorithm proposed by K. Sugimoto and S. Kamata in 2012-2013.

traditionalsarshipdetection

Traditional Method for SAR Ship Detection Using SVM

training

Reference implementations of MLPerf™ training benchmarks

unet-of-remote-sensing-image

The semantic segmentation of remote sensing images