Feature detection and description for image matching: from hand-crafted design to deep learning
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: Chen, L.; Rottensteiner, F.; Heipke, C.: Feature detection and description for image matching: from hand-crafted design to deep learning. In: Geo-spatial Information Science 24 (2021), Nr. 1, S. 58-74. DOI: https://doi.org/10.1080/10095020.2020.1843376
- Ereignis
-
Veröffentlichung
- (wo)
-
Hannover
- (wer)
-
Gottfried Wilhelm Leibniz Universität Hannover
- (wann)
-
2020
- Ereignis
-
Veröffentlichung
- (wo)
-
Hannover
- (wer)
-
Technische Informationsbibliothek (TIB)
- (wann)
-
2020
- Urheber
-
Chen, Lin
Rottensteiner, Franz
Heipke, Christian
- DOI
-
10.15488/14516
- URN
-
urn:nbn:de:101:1-2023083102153070106718
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:47 MEZ
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
- Chen, Lin
- Rottensteiner, Franz
- Heipke, Christian
- Gottfried Wilhelm Leibniz Universität Hannover
- Technische Informationsbibliothek (TIB)
Entstanden
- 2020
Ähnliche Objekte (12)
Deep learning based feature matching and its application in image orientation
Deep learning for geometric and semantic tasks in photogrammetry and remote sensing
Automatic qualtiy control of cropland and grasland GIS objects using IKONOS satellite imagery
Assigning tie points to a generalised building model for UAS image orientation
Investigations on skip-connections with an additional cosine similarity loss for land cover classification
Iterative re-weighted instance transfer for domain adaptation
Using label noise robust logistic regression for automated updating of topographic geospatial databases
Using redundant information from multiple aerial images for the detection of bomb craters based on marked point processes
Contextual land use classification: How detailed can the class structure be?
Integration of a generalised building model into the pose estimation of UAS images
Exploring semantic relationships for hierarchical land use classification based on convolutional neural networks
Invariant descriptor learning using a Siamese convolutional neural network
Deep learning based feature matching and its application in image orientation
Deep learning for geometric and semantic tasks in photogrammetry and remote sensing
Automatic qualtiy control of cropland and grasland GIS objects using IKONOS satellite imagery
Assigning tie points to a generalised building model for UAS image orientation
Investigations on skip-connections with an additional cosine similarity loss for land cover classification
Iterative re-weighted instance transfer for domain adaptation
Using label noise robust logistic regression for automated updating of topographic geospatial databases
Using redundant information from multiple aerial images for the detection of bomb craters based on marked point processes
Contextual land use classification: How detailed can the class structure be?
Integration of a generalised building model into the pose estimation of UAS images
Exploring semantic relationships for hierarchical land use classification based on convolutional neural networks
Invariant descriptor learning using a Siamese convolutional neural network
Deep learning based feature matching and its application in image orientation
Deep learning for geometric and semantic tasks in photogrammetry and remote sensing
Automatic qualtiy control of cropland and grasland GIS objects using IKONOS satellite imagery
Assigning tie points to a generalised building model for UAS image orientation
Investigations on skip-connections with an additional cosine similarity loss for land cover classification
Iterative re-weighted instance transfer for domain adaptation
Using label noise robust logistic regression for automated updating of topographic geospatial databases
Using redundant information from multiple aerial images for the detection of bomb craters based on marked point processes
Contextual land use classification: How detailed can the class structure be?
Integration of a generalised building model into the pose estimation of UAS images
Exploring semantic relationships for hierarchical land use classification based on convolutional neural networks