dixinlike Goto Github PK

awesome-remote-sensing-change-detection

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

blog

Python机器学习算法技术博客，有原创干货！有code实践！

cesiumbook

Cesium源码研究，笔记，样例

custarfm

cuSTARFM is a GPU-enabled Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM)

deep-hs-prior

Single Hyperspectral Image Denoising, Inpainting, Super-Resolution

deeplearning_for_vis-nir_spectra

Deep Learning models applied to the analysis of VIS-NIR spectral data

deepsentinel

DeepSentinel: a sentinel-1 and -2 self-supervised sensor fusion model for general purpose semantic embedding

demo_spectral_spatial_hyperspectral_classification

This is a code set for spectral-spatial hyperpsectral classifcation, including the EMAP, Gabor, LORSAL, LibSVM, MRF, and LBP methods.

dixinlike

Config files for my GitHub profile.

eeg-poplsregression-cognitivereserve

Parallel and orthogonalized partial least squares (PO-PLS) multiblock regression was used in order to investigate associations between a comprehensive cognitive reserve proxy and functional connectivity of the prefrontal cortex across the whole scalp, covarying for the level of current cognitive functioning.

free-excel

开源Excel教程。

gee_s1_ard

Creates an analysis ready sentinel-1 SAR image collection in Google Earth Engine by applying additional border noise correction, speckle filtering and radiometric terrain normalization.

geeguide

Harmonization of Landsat and Sentinel 2 in Google Earth Engine, documentation and scripts

hgboost

hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.

hyftech-hyperspectral-shallow-deep-feature-extraction-toolbox

This Toolbox includes Hyperspectral Feature Extraction Techniques including Unsupervised, Supervised, and Deep Feature Extraction

hyperspectral-data-processing

Spectral data processing, including preprocessing, feature extraction, sample division, modeling, optimization algorithm.

hyperspectral-deblurring-and-destriping

This toolbox

hyperspectral-image-denoising-

This toolbox

hyperspectraldata-processing-tool

This is the source code of our data processing tool that we used for processing hyperspectral data in our paper (Apple Surface Pesticide Residue Detection Method Based on Hyperspectral Imaging).

ica-based-band-selection-hsi

Independent component analysis for dimensionality reduction of hyperspectral images

it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

multi-block

The Graphical User Interface for multi-block data analysis

netoffice

🌌 Create add-ins and automation code for Microsoft Office applications.

network-pruning-for-hsi-band-selection

Codes for 2020 IGARSS NEURAL NETWORK PRUNING FOR HYPERSPECTRAL IMAGE BAND SELECTION

nippy

Semi-automated preprocessing of NIRS data

numpy-ml

Machine learning, in numpy

optimal-clustering-framework-for-hyperspectral-band-selection

optimal-neighboring-reconstruction-for-hyperspectral-band-selection

poldecomp

Polarimetric Synthetic Aperture Radar (PolSAR) Decomposition Modelling

pysptools

Hyperspectral library for Python