3D Map Creation Based on Knowledgebase System for Texture Mapping Together with Height Estimation Using Objects' Shadows with High Spatial Resolution Remote Sensing Satellite Imagery Data

Method for 3D map creation based on knowledgebase system for texture mapping together with height estimation using objects’ shadows with high spatial resolution of remote sensing satellite imagery data is proposed. Through the experiments with IKONOS imagery data, the proposed method is validated.

Computer Science Engineering Environmental Science Geography

View graph Source

Paper

Full text

3D Map Creation Based on Knowledgebase System for Texture Mapping Together with Height Estimation Using Objects' Shadows with High Spatial Resolution Remote Sensing Satellite Imagery Data

Semantic Scholar · Computer Science · 2013

Abstract

Method for 3D map creation based on knowledgebase system for texture mapping together with height estimation using objects’ shadows with high spatial resolution of remote sensing satellite imagery data is proposed. Through the experiments with IKONOS imagery data, the proposed method is validated.

Source of record · Semantic Scholar

References (1)

01IJARAI) International Journal of Advanced Research in Artificial Intelligence2013 · IJARAI) International Journal of Advanced Research in Artificial Intelligence

Similar papers

Mesh-based 3D Textured Urban MappingAndrea Romanoni, Daniele Fiorenti, M. Matteucci2017 · IEEE/RJS International Conference on Intelligent RObots and Systems · 19 citations In Library

The Use of Deep Learning Methods for Object Height Estimation in High Resolution Satellite ImagesSzymon Glinka, J. Bajer, D. Wierzbicki et al.2023 · Italian National Conference on Sensors · 8 citations In Library

3D Map Reconstruction From Single Satellite Image Using a Deep Monocular Depth NetworkChang-Min Son, Soon-Yong Park2022 · 2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN) In Library

A Novel Method Based on Deep Learning, GIS and Geomatics Software for Building a 3D City Model from VHR Satellite Stereo ImageryM. Pepe, D. Costantino, V. Alfio et al.2021 · ISPRS Int. J. Geo Inf. · 49 citations In Library

Dense Omnidirectional RGB‐D Mapping of Large‐scale Outdoor Environments for Real‐time Localization and Autonomous NavigationMaxime Meilland, A. Comport, P. Rives2015 · J. Field Robotics · 43 citations In Library

Deep Learning-Based Digital Surface Model Reconstruction of ZY-3 Satellite ImageryYan-Bao Zhao, Yang Liu, Shuang Gao et al.2024 · Remote Sensing · 6 citations In Library

Instant Panoramic Texture Mapping with Semantic Object Matching for Large-Scale Urban Scene ReproductionJinwoo Park, Ikbeom Jeon, Sung‐Eui Yoon et al.2021 · IEEE Transactions on Visualization and Computer Graphics In Library

3D Texturing From Multi-Date Satellite ImagesE. Meinhardt, Marie d'Autume2019 · 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) · 0 citations In Library

Ground 3D Object Reconstruction Based on Multi-View 3D Occupancy Network using Satellite Remote Sensing ImageHao Chen, Wen Chen, Tong Gao2021 In Library

SAM-Net: LiDAR Depth Inpainting for 3D Static Map GenerationJunhyeop Lee, Sangwon Hwang, Woo Jin Kim et al.2021 · IEEE Transactions on Intelligent Transportation Systems In Library

Source of record

Semantic Scholar

44B

Welcome.

This panel sticks with you. Pick anything below and it opens right beside it, so you can dig through 60,000-plus records without ever losing your spot here.

Travel 44B

LibraryPapers, policy, standards, statute LabsEvery organization building AI ModelsIntelligence, price, and speed BenchmarksThe evaluation catalog IncidentsAI failures and harms SearchOne field across everything DashboardThe state of AI accountability in NY 44B RegistryThe Art. 44-B compliance portal