MIKE_L's repositories
grainscape
Efficient Modelling of Landscape Connectivity, Habitat, and Protected Area Networks
MOP-BP
Multi-scenario simulation attempt
bp-shap
Calculate the shap value of bp network
SAM-UGIS-Homework
SAM application in remote sensing images object-based classification for UGIS course
VensimToR
An example how to convert SD models build with vensim for use in R
PolyWorldPretrainedNetwork
PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images
OBIC-GCN
Open-source codes and annotated datasets in CVEO recent work "Object-based Classification Framework of Remote Sensing Images with Graph Convolutional Networks" on IEEE Geoscience and Remote Sensing Letters.
venpy
Python Tools for Vensim Simulation Software
IEEE_TGRS_GCN
Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE Trans. Geosci. Remote Sens., 2021, 59(7): 5966-5978.
Open-Space-Cellular_Automata
A spatio-temporal approach based on Cellular Automata (CA) for simulating the spatial dynamics of open spaces (include urban green spaces, parks, squares, trails, courtyards, and other natural spaces), by considering a set of spatial data that represents the infrastructural and socio-economic factors, namely the OS-CA (Open Space Cellular Automato
ChangeOS
ChangeOS: Building damage assessment via Deep Object-based Semantic Change Detection - (RSE 2021)
GCN_HSI_Classification
It's a experiment that applying the graph convolution neural network for hyperspectral image classification
Semantic-segmentation-of-remote-sensing-images
遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+
Python-Image-feature-extraction
Python实现提取图像的纹理、颜色特征，包含快速灰度共现矩阵（GLCM）、LBP特征、颜色矩、颜色直方图。
CDTStudio
CDTStudio is an open-source and cross-platform desktop software in object-based image analysis (OBIA or GeoOBIA)