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Building Detection using Aerial Images and Digital Surface Models

Mu, Jia and Cui, Shiyong and Reinartz, Peter (2017) Building Detection using Aerial Images and Digital Surface Models. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, XLII-1 (W1), pp. 159-165. Copernicus Publications. ISPRS Hannover Workshop: HRIGI 17, 06.-09.Juni 2017, Hannover, Germany. DOI: 10.5194/isprs-archives-XLII-1-W1-159-2017

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Official URL: http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-1-W1/159/2017/

Abstract

In this paper a method for building detection in aerial images based on variational inference of logistic regression is proposed. It consists of three steps. In order to characterize the appearances of buildings in aerial images, an effective bag-of-Words (BoW) method is applied for feature extraction in the first step. In the second step, a classifier of logistic regression is learned using these local features. The logistic regression can be trained using different methods. In this paper we adopt a fully Bayesian treatment for learning the classifier, which has a number of obvious advantages over other learning methods. Due to the presence of hyper prior in the probabilistic model of logistic regression, approximate inference methods have to be applied for prediction. In order to speed up the inference, a variational inference method based on mean field instead of stochastic approximation such as Markov Chain Monte Carlo is applied. After the prediction, a probabilistic map is obtained. In the third step, a fully connected conditional random field model is formulated and the probabilistic map is used as the data term in the model. A mean field inference is utilized in order to obtain a binary building mask. A benchmark data set consisting of aerial images and digital surfaced model (DSM) released by ISPRS for 2D semantic labeling is used for performance evaluation. The results demonstrate the effectiveness of the proposed method.

Item URL in elib:https://elib.dlr.de/112906/
Document Type:Conference or Workshop Item (Speech)
Title:Building Detection using Aerial Images and Digital Surface Models
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Mu, JiaElektronische Fahrwerksysteme GmbH, Gaimersheim, GermanyUNSPECIFIED
Cui, Shiyongshiyong.cui (at) dlr.deUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.dehttps://orcid.org/0000-0002-8122-1475
Date:2017
Journal or Publication Title:International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Volume:XLII-1
DOI :10.5194/isprs-archives-XLII-1-W1-159-2017
Page Range:pp. 159-165
Editors:
EditorsEmail
UNSPECIFIEDISPRS Org.
Publisher:Copernicus Publications
Status:Published
Keywords:Building detection, variational inference, logistic regression, Bag-of-Words (BoW), conditional random fields, aerial images, classification
Event Title:ISPRS Hannover Workshop: HRIGI 17
Event Location:Hannover, Germany
Event Type:international Conference
Event Dates:06.-09.Juni 2017
Organizer:ISPRS
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By:INVALID USER
Deposited On:30 Jun 2017 13:22
Last Modified:31 Jul 2019 20:10

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