xyt556
Xi Yantao, Associate Professor, China University of Mining and Technology
China University of Mining and Technologyxuzhou, China
Pinned Repositories
GEE_Project
GeeMap_2022
HydroSAR
Groundwater pumping prediction using remote sensing datasets
kriging-example
Numerical simulation for semivariogram modeling and Ordinary Kriging
OTSU_X
Remote-sensing-image-captioning-with-transformer-and-multilabel-classification
Remote-Sensing-Image-Classification
Remote Sensing Image Classification via Improved Cross-Entropy Loss and Transfer Learning Strategy Based on Deep Convolutional Neural Networks
rsnet
Deep learning tool for remote sensing data.
Scatter_BYB_Image
遥感影像波段相关性计算
SmartDog
这是一个基于深度学习的单目标跟踪软件,该软件可以跟踪视频目标或者通过摄像头跟踪目标
xyt556's Repositories
xyt556/AI-RemoteSensing
xyt556/Cal_P_A
xyt556/Calculate_P_A
xyt556/Chapter_03
xyt556/chatgpt
ChatGPT网址导航,分享免费好用AI网站!
xyt556/coal_cal
xyt556/deep-learning-for-earth-observation
Application of deep learning for earth observation.
xyt556/DotSpatial21
xyt556/DotSpatial4
DotSpatial4.0
xyt556/DS2023
xyt556/eefa-notebook
Python scripts and Jupyter notebooks for the EEFA book
xyt556/Excel-Python
《对比Excel,轻松学习Python数据分析》学习笔记及练习代码
xyt556/GDAL_scripts
GDAL scripts generally written in Python
xyt556/geebook
Geospatial Data Science with Earth Engine and Geemap
xyt556/geemap
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
xyt556/Geo_Data2023_1
xyt556/Geo_Data_2023
地学信息开发技术
xyt556/Geo_Data_pro23
xyt556/Geo_Python_2024
xyt556/Geopython
Notebooks and libraries for spatial/geo Python explorations
xyt556/geopython2024
xyt556/geospatial-data-analysis-python
This repo contain the most common tools used in geospatial analysis using python!
xyt556/gpt4free
decentralising the Ai Industry, just some language model api's...
xyt556/hurst
Hurst exponent evaluation and R/S-analysis in Python
xyt556/Learn
Code and data samples from GeospatialPython.com and Books
xyt556/MFF-Net
xyt556/mlcourse.ai
Open Machine Learning Course
xyt556/Patch-generating_Land_Use_Simulation_Model
The PLUS model integrates a rule mining framework based on Land Expansion Analysis Strategy (LEAS) and a CA model based on multi-type Random Patch Seeds (CARS), which was used to understand the drivers of land expansion and project landscape dynamics.
xyt556/pythonProject111
xyt556/Time_Series_image