Pinned Repositories
2SeaColor
Two-stream remote sensing model for water quality mapping: 2SeaColor
3d-forest-classic
software for analysis of Lidar data from forest environment.
3D-Machine-Learning
A resource repository for 3D machine learning
3D-Shape-Analysis-Paper-List
A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).
3DCTN
[TITS2022] 3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification
AdQSM
AdQSM is a new tree quantitative structure model (QSM) that can reconstruct the 3D branch geometry of individual tree from Terrestrial Laser Scanning (TLS) point clouds. Many attributes of the trunk or branch can also be quantitatively calculated (as shown in the table below). For example, tree volume (trunk and branch), DBH and tree height parameters can be extracted directly. It allows point clouds collected by different sensors to serve as input point clouds. In addition to TLS, UAV LiDAR, mobile LiDAR, SLAM and even photogrammetry are also included under the premise of appropriate point cloud density.
agile_autonomy
Repository Containing the Code associated with the Paper: "Learning High-Speed Flight in the Wild"
agile_flight
Developing and Comparing Vision-based Algorithms for Vision-based Agile Flight
AgriITSC
Prototype-based method for agricultural image time series classification.
SFM-Visual-SLAM
winterchaufr's Repositories
winterchaufr/torchrs
PyTorch implementation of popular datasets and models in remote sensing
winterchaufr/Tree-species-classification-based-on-the-combination-of-hyperspectral-and-airborne-LiDAR
winterchaufr/CFC-Net
[TGRS 2021] Official implementation of "CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing Images".
winterchaufr/Tree_segmentation-using_PointNet
winterchaufr/tree-species
winterchaufr/JS3C-Net
Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)
winterchaufr/forest_3d_app
winterchaufr/Open3D-PointNet
Open3D PointNet implementation with PyTorch
winterchaufr/AdQSM
AdQSM is a new tree quantitative structure model (QSM) that can reconstruct the 3D branch geometry of individual tree from Terrestrial Laser Scanning (TLS) point clouds. Many attributes of the trunk or branch can also be quantitatively calculated (as shown in the table below). For example, tree volume (trunk and branch), DBH and tree height parameters can be extracted directly. It allows point clouds collected by different sensors to serve as input point clouds. In addition to TLS, UAV LiDAR, mobile LiDAR, SLAM and even photogrammetry are also included under the premise of appropriate point cloud density.
winterchaufr/detectree
Tree detection from aerial imagery in Python
winterchaufr/octomap
An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.
winterchaufr/awesome-multimodal-remote-sensing-classification
List of datasets, papers, and codes related to multimodal/multisource/multisensor remote sensing classification
winterchaufr/individual_urban_tree_crown_detection
winterchaufr/PCT
Jittor implementation of PCT:Point Cloud Transformer
winterchaufr/treeseg
Extract individual trees from lidar point clouds
winterchaufr/NeonTreeEvaluation_package
R package for evaluating individual tree crown predictions against a diverse benchmark dataset
winterchaufr/simple-faster-rcnn-pytorch
A simplified implemention of Faster R-CNN that replicate performance from origin paper
winterchaufr/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
winterchaufr/libtorchDemo
winterchaufr/image-segmentation-classification
This repo contains a Jupyter Notebook which tests an approach to segment and classify high resolution NAIP imagery using a Random Forests classifier.
winterchaufr/open-solution-mapping-challenge
Open solution to the Mapping Challenge :earth_americas:
winterchaufr/VisualDL
Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）
winterchaufr/WiSe19-20-TreeTypeClassification
Deep Learning-based Classification of Tree Species and Standing Dead Trees on AWS Architecture
winterchaufr/Home-AssistantConfig
:house: Home Assistant configuration & Documentation for my Smart House. Write-ups, videos, part lists, and links throughout. Be sure to :star: it. Updated FREQUENTLY!
winterchaufr/aircraft_3d_animation
A Matlab tool to visualize recorded or simulated flight data
winterchaufr/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.
winterchaufr/Mask-R-CNN-on-Custom-Dataset
winterchaufr/dem2terrainrgb
This module is to convert DEM to terrain RGB raster tiles.
winterchaufr/mars3d
Mars3D三维地球平台软件 开源导航菜单
winterchaufr/openMVG
open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.