carlday

carlday's Stars

• wangbikang/AEDTA

  A noise denoising algorithm

  Language:Jupyter Notebook92

• ICESat2-Bathymetry/Information

  Information and resources about bathymetric data from NASA's ICESat-2 mission, created by the ICESat-2 Science Team Bathymetry Working Group.

  Language:MATLAB3610

• fedesemeraro/surfnerf

  Implementation of Sat-NeRF, a new NeRF architecture applied to satellite imagery for surface reconstruction

  Language:Python434

• jieeeeeeeeeee/sat-mesh

  Sat-Mesh project

  Language:HTML3

• guo-research-group/Stellar

  A Large Satellite Stereo Dataset for Digital Surface Model Generation

  8

• MacOS/ReKlaSat-3D

  3D Reconstruction and Classification from Very High Resolution Satellite Imagery (ReKlaSat 3D)

  Language:Python61

• lehaifeng/SCAttNet

  Semantic Segmentation Network with Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images

  Language:Python9619

• chenzhaiyu/points2poly

  Reconstructing compact building models from point clouds using deep implicit fields [ISPRS 2022]

  Language:Python18835

• jwwangchn/BONAI

  Official code for "Learning to Extract Building Footprints from Off-Nadir Aerial Images"

  Language:Python8611

• sarthakTUM/roofn3d

  Roof Classification, Segmentation, and Damage Completion using 3D Point Clouds

  Language:Jupyter Notebook6214

• SaadAhmedJamal/IEEE_DFC2023

  Language:Jupyter Notebook4

• JUSTM0VE0N/DFC2023

  Remote Sensing Data Fusion Competition

  Language:Python1

• mdmeadows/DSM-to-DTM

  Exploring the use of machine learning to convert a Digital Surface Model (e.g. SRTM) to a Digital Terrain Model

  Language:Python6117

• satellite-image-deep-learning/techniques

  Techniques for deep learning with satellite & aerial imagery

  8.8k1.5k

• city-super/BungeeNeRF

  [ECCV22] BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering

  Language:Python57062

• pixelknife/pixelknife.github.io

  81

• Lydorn/Polygonization-by-Frame-Field-Learning

  This repository contains the code for our fast polygonal building extraction from overhead images pipeline.

  Language:Python29470

• zorzi-s/PolyWorldPretrainedNetwork

  PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images

  Language:Python18528

• venkai/deploy_core3d

  Dockerized Modules for Shadow-Removal, RGB/RGBD Inpainting, MSI2RGB and Joint Semantic Segmentation/ Single-View DHM estimation on satellite imagery

  Language:Python51

• luiarthur/ORFpy

  Online Random Forests (Saffari) for Python

  Language:Python95

• satellite-image-deep-learning/software

  Software for working with satellite & aerial imagery ML datasets

  10919

• SBCV/Blender-Addon-Photogrammetry-Importer

  Addon to import different photogrammetry formats into Blender

  Language:Python91881

• CAESAR-Radi/HR-SARBuD

  High-Resolution SAR Building Dataset

  6

• CAESAR-Radi/SARBuD

  SAR Building Dataset

  408

• mprakhar/DSM2DTM

  Code for the paper - Comparison of Digital Building Height Models Extracted from AW3D, TanDEM-X, ASTER, and SRTM Digital Surface Models over Yangon City

  Language:Jupyter Notebook159

• Esri/raster-types

  A set of Raster Types for ArcGIS developed using the Python language.

  Language:Python97

• sdrdis/iarpa

  My IARPA Contest submission

  Language:Python239

• MVSer/A-SATMVSNet

  Language:Python72

• acgeospatial/awesome-earthobservation-code

  A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery

  Language:HTML1.2k242

• centreborelli/satnerf

  Satellite Neural Radiance Fields

  Language:Python12725