hulaba's repositories
R-ArcGIS-LSM_ToolPack
This tool is to develop an easy-to-use tool package called Landslide Susceptibility Mapping Tool Pack (LSM Tool Pack) for producing landslide susceptibility maps based on integrating R with ArcMap Software. The proposed tool contains 5 main modules namely: (1) Data Preparation (DP), (2) Feature (Factor) Selection (FS), (3) Logistic Regression (LR), (4) Random Forest (RF), (5) Performance Evaluation (PE) and (6) Create Raster Stack (Multi-Bands).
crop_mapping
Time-Independent Crop Type Mapping
nerf-pytorch
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
multi-stage-convSTAR-network
[RSE 2021] Crop mapping from image time series: deep learning with multi-scale label hierarchies
GermanPhenology
Germany's historical phenological data visualized
phenology-e-shape
Phenological product generation from Sentinel 2 in ODC, Onda-DIAS and VLAB
mvsnerf
[ICCV 2021] Our work presents a novel neural rendering approach that can efficiently reconstruct geometric and neural radiance fields for view synthesis.
awesome-neural-rendering
A collection of resources on neural rendering.
SQ_Wheat_Phenology
Model of wheat phenology of the crop growth simulation model SiriusQuality
vision
Datasets, Transforms and Models specific to Computer Vision
imap-pytorch
My implementation of iMap - method for SLAM with Neural rendering
hub
Submission to https://pytorch.org/hub/
nanodet
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
global-power-plant-database
A comprehensive, global, open source database of power plants
LeetCode-Py
⛽️「算法通关手册」，超详细的「算法与数据结构」基础讲解教程，「LeetCode」650+ 道题目 Python 版的详细解析。通过「算法理论学习」和「编程实战练习」相结合的方式，从零基础到彻底掌握算法知识。
aitlas
AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
AICS-Homework
AICS Homework
feature-engineering-tutorials
Data Science Feature Engineering and Selection Tutorials
Deep-Learning-based-Plant-Phenotyping
Detecting phenotypic traits such as leaf and collar count in soybean plants using deep learning
pycrop-yield-prediction
A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction
remote-sensing-image-captioning
Architectures for Remote Sensing Image Captioning Thesis
Salinas-dataset-Classification
This data set comes from Hyperspectral Remote Sensing Scenes
Python-for-ArcGIS-Pro
Python for ArcGIS Pro
Potato-Plant-Disease-Classification
Human society needs to increase food production by an estimated 70% by 2050 to feed an expected population size that is predicted to be over 9 billion people. Currently, infectious diseases reduce the potential yield by an average of 40% with many farmers in the developing world experiencing yield losses as high as 100%.
WordSent
This is the source code of "Word-Sentence Framework for Remote Sensing Image Captioning, TGRS2020".
PointCloudEngine
Point Cloud Rendering Engine with Octree Generation, Splat Blending, Phong Lighting and Neural Network Evaluation
proj_time_series_analysis
Phenology of Georgia (Caucasus). Phenology is derived from NDVI (Modis satellite).
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
PSGAN
Official source code of the paper: Perturbation Seeking Generative Adversarial Networks: A Defense Framework for Remote Sensing Image Scene Classification