3D building change detection using high resolution stereo images and a GIS database

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: In: Dini, G.R.; Jacobsen, K.; Rottensteiner, F.; Al Rajhi, M.; Heipke, C.: 3D building change detection using high resolution stereo images and a GIS database. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 39 (2012), S. 299-304. DOI: https://doi.org/10.5194/isprsarchives-XXXIX-B7-299-2012

Event: Veröffentlichung

(where): Hannover

(who): Gottfried Wilhelm Leibniz Universität Hannover

(when): 2012

Event: Veröffentlichung

(where): Hannover

(who): Technische Informationsbibliothek (TIB)

(when): 2012

Creator: Dini, G.R.
Jacobsen, Karsten
Rottensteiner, Franz
Al Rajhi, M.
Heipke, Christian

DOI: 10.15488/1337

URN: urn:nbn:de:101:1-2020080807194276927318

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:49 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Dini, G.R.
Jacobsen, Karsten
Rottensteiner, Franz
Al Rajhi, M.
Heipke, Christian
Gottfried Wilhelm Leibniz Universität Hannover
Technische Informationsbibliothek (TIB)

Time of origin

2012

Other Objects (12)

CLASSIFICATION OF LAND COVER AND LAND USE BASED ON CONVOLUTIONAL NEURAL NETWORKS

Automatic qualtiy control of cropland and grasland GIS objects using IKONOS satellite imagery

Deep learning for geometric and semantic tasks in photogrammetry and remote sensing

Contextual land use classification: How detailed can the class structure be?

Assigning tie points to a generalised building model for UAS image orientation

Integration of a generalised building model into the pose estimation of UAS images

Deep learning based feature matching and its application in image orientation

Invariant descriptor learning using a Siamese convolutional neural network

Iterative re-weighted instance transfer for domain adaptation

Feature detection and description for image matching: from hand-crafted design to deep learning

Exploring semantic relationships for hierarchical land use classification based on convolutional neural networks

Using label noise robust logistic regression for automated updating of topographic geospatial databases

CLASSIFICATION OF LAND COVER AND LAND USE BASED ON CONVOLUTIONAL NEURAL NETWORKS

Automatic qualtiy control of cropland and grasland GIS objects using IKONOS satellite imagery

Deep learning for geometric and semantic tasks in photogrammetry and remote sensing

Contextual land use classification: How detailed can the class structure be?

Assigning tie points to a generalised building model for UAS image orientation

Integration of a generalised building model into the pose estimation of UAS images

Deep learning based feature matching and its application in image orientation

Invariant descriptor learning using a Siamese convolutional neural network

Iterative re-weighted instance transfer for domain adaptation

Feature detection and description for image matching: from hand-crafted design to deep learning

Exploring semantic relationships for hierarchical land use classification based on convolutional neural networks

Using label noise robust logistic regression for automated updating of topographic geospatial databases

CLASSIFICATION OF LAND COVER AND LAND USE BASED ON CONVOLUTIONAL NEURAL NETWORKS

Automatic qualtiy control of cropland and grasland GIS objects using IKONOS satellite imagery

Deep learning for geometric and semantic tasks in photogrammetry and remote sensing

Contextual land use classification: How detailed can the class structure be?

Assigning tie points to a generalised building model for UAS image orientation

Integration of a generalised building model into the pose estimation of UAS images

Deep learning based feature matching and its application in image orientation

Invariant descriptor learning using a Siamese convolutional neural network

Iterative re-weighted instance transfer for domain adaptation

Feature detection and description for image matching: from hand-crafted design to deep learning

Exploring semantic relationships for hierarchical land use classification based on convolutional neural networks

Using label noise robust logistic regression for automated updating of topographic geospatial databases

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

3D building change detection using high resolution stereo images and a GIS database

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Time of origin

Other Objects (12)

CLASSIFICATION OF LAND COVER AND LAND USE BASED ON CONVOLUTIONAL NEURAL NETWORKS

Automatic qualtiy control of cropland and grasland GIS objects using IKONOS satellite imagery

Deep learning for geometric and semantic tasks in photogrammetry and remote sensing

Contextual land use classification: How detailed can the class structure be?

Assigning tie points to a generalised building model for UAS image orientation

Integration of a generalised building model into the pose estimation of UAS images

Deep learning based feature matching and its application in image orientation

Invariant descriptor learning using a Siamese convolutional neural network

Iterative re-weighted instance transfer for domain adaptation

Feature detection and description for image matching: from hand-crafted design to deep learning

Exploring semantic relationships for hierarchical land use classification based on convolutional neural networks

Using label noise robust logistic regression for automated updating of topographic geospatial databases

CLASSIFICATION OF LAND COVER AND LAND USE BASED ON CONVOLUTIONAL NEURAL NETWORKS

Automatic qualtiy control of cropland and grasland GIS objects using IKONOS satellite imagery

Deep learning for geometric and semantic tasks in photogrammetry and remote sensing

Contextual land use classification: How detailed can the class structure be?

Assigning tie points to a generalised building model for UAS image orientation

Integration of a generalised building model into the pose estimation of UAS images

Deep learning based feature matching and its application in image orientation

Invariant descriptor learning using a Siamese convolutional neural network

Iterative re-weighted instance transfer for domain adaptation

Feature detection and description for image matching: from hand-crafted design to deep learning

Exploring semantic relationships for hierarchical land use classification based on convolutional neural networks

Using label noise robust logistic regression for automated updating of topographic geospatial databases

CLASSIFICATION OF LAND COVER AND LAND USE BASED ON CONVOLUTIONAL NEURAL NETWORKS

Automatic qualtiy control of cropland and grasland GIS objects using IKONOS satellite imagery

Deep learning for geometric and semantic tasks in photogrammetry and remote sensing

Contextual land use classification: How detailed can the class structure be?

Assigning tie points to a generalised building model for UAS image orientation

Integration of a generalised building model into the pose estimation of UAS images

Deep learning based feature matching and its application in image orientation

Invariant descriptor learning using a Siamese convolutional neural network

Iterative re-weighted instance transfer for domain adaptation

Feature detection and description for image matching: from hand-crafted design to deep learning

Exploring semantic relationships for hierarchical land use classification based on convolutional neural networks

Using label noise robust logistic regression for automated updating of topographic geospatial databases

Related objects

Reset password