[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Milz et al., 2023 - Google Patents

The H AI nich: A multidisciplinary vision data-set for a better understanding of the forest ecosystem

Milz et al., 2023

View HTML @Full View
Document ID
15121546048968231974
Author
Milz S
Wäldchen J
Abouee A
Ravichandran A
Schall P
Hagen C
Borer J
Lewandowski B
Wittich H
Mäder P
Publication year
Publication venue
Scientific Data

External Links

Snippet

We present a multidisciplinary forest ecosystem 3D perception dataset. The dataset was collected in the Hainich-Dün region in central Germany, which includes two dedicated areas, which are part of the Biodiversity Exploratories-a long term research platform for …
Continue reading at www.nature.com (HTML) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
    • G06K9/00657—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/20—Instruments for performing navigational calculations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10032—Satellite or aerial image; Remote sensing
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/26—Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network
    • G01C21/34—Route searching; Route guidance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/26—Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network
    • G01C21/28—Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network with correlation of data from several navigational instruments
    • G01C21/30—Map- or contour-matching
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05—Geographic models
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying

Similar Documents

Publication Publication Date Title
Nex et al. Towards real-time building damage mapping with low-cost UAV solutions
Schwarz Mapping the world in 3D
Liu et al. Extraction of sample plot parameters from 3D point cloud reconstruction based on combined RTK and CCD continuous photography
Stürzl et al. Three-dimensional models of natural environments and the mapping of navigational information
Han et al. Change detection in unmanned aerial vehicle images for progress monitoring of road construction
Virtanen et al. Nationwide point cloud—The future topographic core data
Gómez-López et al. Mission flight planning of RPAS for photogrammetric studies in complex scenes
Pessacg et al. Simplifying UAV-based photogrammetry in forestry: How to generate accurate digital terrain model and assess flight mission settings
Kavaliauskas et al. Geometric Accuracy of 3D Reality Mesh Utilization for BIM-Based Earthwork Quantity Estimation Workflows
McMahon et al. Evaluating the performance of sUAS photogrammetry with PPK positioning for infrastructure mapping
Adjidjonu et al. Assessing the accuracy of unmanned aerial vehicles photogrammetric survey
Będkowski Open source, open hardware hand-held mobile mapping system for large scale surveys
Trzeciak et al. ConSLAM: periodically collected real-world construction dataset for SLAM and progress monitoring
Tagarakis et al. 3d scenery construction of agricultural environments for robotics awareness
Capecchi et al. Automated urban tree survey using remote sensing data, Google street view images, and plant species recognition apps
Choi et al. CrowdLIM: Crowdsourcing to enable lifecycle infrastructure management
Delgado-Vera et al. A photogrammetry software as a tool for precision agriculture: a case study
Milz et al. The H AI nich: A multidisciplinary vision data-set for a better understanding of the forest ecosystem
Wickramasinghe et al. Satellite remote-sensing monitoring of a railway construction project
Pavelka et al. Remarks on Geomatics Measurement Methods Focused on Forestry Inventory
Mohamad Azmi et al. 3D data fusion using unmanned aerial vehicle (UAV) photogrammetry and terrestrial laser scanner (TLS)
Baca et al. Automated data annotation for 6-dof ai-based navigation algorithm development
Philippides et al. Insect-inspired visual navigation for flying robots
Drouin et al. Modeling and simulation framework for airborne camera systems
Gubanov et al. Algorithms and software for evaluation of plant height in vertical farm using uavs