LEARNING WITH REAL-WORLD AND ARTIFICIAL DATA FOR IMPROVED VEHICLE DETECTION IN AERIAL IMAGERY
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
LEARNING WITH REAL-WORLD AND ARTIFICIAL DATA FOR IMPROVED VEHICLE DETECTION IN AERIAL IMAGERY ; volume:V-2-2020 ; year:2020 ; pages:917-924
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; V-2-2020 (2020), 917-924
- Urheber
-
Weber, I.
Bongartz, J.
Roscher, R.
- DOI
-
10.5194/isprs-annals-V-2-2020-917-2020
- URN
-
urn:nbn:de:101:1-2020080618280169141128
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:00 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Weber, I.
- Bongartz, J.
- Roscher, R.
Ähnliche Objekte (12)
Deep Learning based Vehicle Detection in Aerial Imagery
Deep Learning based Vehicle Detection in Aerial Imagery
Deep Learning based Vehicle Detection in Aerial Imagery
LR-CNN : Local-aware Region CNN for vehicle detection in aerial imagery
Assessing water erosion processes in degraded area using unmanned aerial vehicle imagery
INTEGRATING TERRESTRIAL LIDAR WITH POINT CLOUDS CREATED FROM UNMANNED AERIAL VEHICLE IMAGERY
VEHICLE CLASSIFICATION IN URBAN REGIONS OF THE GLOBAL SOUTH FROM AERIAL IMAGERY
SEGMENT-AND-COUNT: VEHICLE COUNTING IN AERIAL IMAGERY USING ATROUS CONVOLUTIONAL NEURAL NETWORKS
Identifying rice field weeds from unmanned aerial vehicle remote sensing imagery using deep learning
Semantic Information Extraction from UAV Imagery and Aerial Imagery
Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system
Vehicle Geolocalization from Drone Imagery
Deep Learning based Vehicle Detection in Aerial Imagery
Deep Learning based Vehicle Detection in Aerial Imagery
Deep Learning based Vehicle Detection in Aerial Imagery
LR-CNN : Local-aware Region CNN for vehicle detection in aerial imagery
Assessing water erosion processes in degraded area using unmanned aerial vehicle imagery
INTEGRATING TERRESTRIAL LIDAR WITH POINT CLOUDS CREATED FROM UNMANNED AERIAL VEHICLE IMAGERY
VEHICLE CLASSIFICATION IN URBAN REGIONS OF THE GLOBAL SOUTH FROM AERIAL IMAGERY
SEGMENT-AND-COUNT: VEHICLE COUNTING IN AERIAL IMAGERY USING ATROUS CONVOLUTIONAL NEURAL NETWORKS
Identifying rice field weeds from unmanned aerial vehicle remote sensing imagery using deep learning
Semantic Information Extraction from UAV Imagery and Aerial Imagery
Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system
Vehicle Geolocalization from Drone Imagery
Deep Learning based Vehicle Detection in Aerial Imagery
Deep Learning based Vehicle Detection in Aerial Imagery
Deep Learning based Vehicle Detection in Aerial Imagery
LR-CNN : Local-aware Region CNN for vehicle detection in aerial imagery
Assessing water erosion processes in degraded area using unmanned aerial vehicle imagery
INTEGRATING TERRESTRIAL LIDAR WITH POINT CLOUDS CREATED FROM UNMANNED AERIAL VEHICLE IMAGERY
VEHICLE CLASSIFICATION IN URBAN REGIONS OF THE GLOBAL SOUTH FROM AERIAL IMAGERY
SEGMENT-AND-COUNT: VEHICLE COUNTING IN AERIAL IMAGERY USING ATROUS CONVOLUTIONAL NEURAL NETWORKS
Identifying rice field weeds from unmanned aerial vehicle remote sensing imagery using deep learning
Semantic Information Extraction from UAV Imagery and Aerial Imagery
Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system