bmillikanphd Goto Github PK

16824_rgb_lidar_fusion

3d-convolutional-neural-networks-with-lidar

Implementations of popular CNNs in 3D for developing forest inventories from LiDAR

arithmeticencodingpython

Data Compression using Arithmetic Encoding in Python

arsf_dem_scripts

ARSF DEM Scripts

attentional-pointnet

Attentional-PointNet is Deep-Neural-Network architecture for 3D object detection in point clouds

codes

Codes pertinent for the analysis for remote sensing or earth-surface data

csftools

Tools to processing LiDAR point cloud

data-compression

The implementation of various data compression techniques.

data-structures

Coding assignments for Data Structures course.

deep-learning-for-lidar-point-clouds

Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

deep-learning-point-cloud-processing

A list of references and projects for point cloud processing.

dem-kzp

Digital Elevation Model (DEM) and KnickZone-Picker (KZP) Analyzer (http://onlinelibrary.wiley.com/doi/10.1002/2017JF004250/full)

dem_fourier_noise

Matlab code for DEM noise analysis using 2D DFT

demnets

Digital Elevation Model Networks

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

dfc2019

2019 IEEE GRSS Data Fusion Contest data, baselines, and metrics

ee451finalproject

Parallel Implementation of Lempel-Ziv-Welch Algorithm

finalprojectcompression

Huffman encoding, compression

gdal

GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.

geologicalremotesensing_manuals

Manuals (Markdown, PDF) for Python, Remote-Sensing Software, and SSH installation

huffman

Huffman compression and decompression

lambda-extract-zip

This is a code snippet that helps to extract zip file uploaded into S3.

lambda-stack-dockerfiles

lidar-guide

LiDAR Guide

lidar2dems

Utilities using PDAL and PCL to create DTMs, DSMs, and CHMs from lidar data

lidrbook

The lidR package tutorials book :book:

lion

Latent Point Diffusion Models for 3D Shape Generation

lossless-data-compression-using-lempel-ziv-welch-lzw-algorithm

The Lempel–Ziv–Welch (LZW) algorithm is a lossless data compression algorithm. LZW is an adaptive compression algorithm that does not assume prior knowledge of the input data distribution. This algorithm works well when the input data is sufficiently large and there is redundancy in the data

neuralpci

✨ [CVPR 2023] NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear Interpolation