Road detection in dense urban areas using SAR imagery and the usefulness of multiple views

Florence Tupin; Bijan Houshmand; Mihai Datcu

doi:10.1109/TGRS.2002.803732

Road detection in dense urban areas using SAR imagery and the usefulness of multiple views

Florence Tupin
, Bijan Houshmand
, Mihai Datcu

Research output: Contribution to journal › Article › peer-review

Abstract

This paper deals with the automatic extraction of the road network in dense urban areas using a few-meters-resolution synthetic aperture radar (SAR) images. The first part presents the proposed method, which is an adaptation of previous work to the specific case of urban areas. The major modifications are 1) the clique potentials of the Markov random field that extracts the road network are adapted and 2) a multiscale framework is used. Results on shuttle mission and aerial SAR images with different resolutions are presented. The second part is dedicated to road extraction combining two SAR images taken with different flight directions (orthogonal and antiparallel passes), and the obtained improvement is analyzed.

Original language	English
Pages (from-to)	2405-2414
Number of pages	10
Journal	IEEE Transactions on Geoscience and Remote Sensing
Volume	40
Issue number	11
DOIs	https://doi.org/10.1109/TGRS.2002.803732
Publication status	Published - 1 Nov 2002

Keywords

Different orientation views
Markov random fields
Road detection
SAR images

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10.1109/TGRS.2002.803732

Cite this

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title = "Road detection in dense urban areas using SAR imagery and the usefulness of multiple views",

abstract = "This paper deals with the automatic extraction of the road network in dense urban areas using a few-meters-resolution synthetic aperture radar (SAR) images. The first part presents the proposed method, which is an adaptation of previous work to the specific case of urban areas. The major modifications are 1) the clique potentials of the Markov random field that extracts the road network are adapted and 2) a multiscale framework is used. Results on shuttle mission and aerial SAR images with different resolutions are presented. The second part is dedicated to road extraction combining two SAR images taken with different flight directions (orthogonal and antiparallel passes), and the obtained improvement is analyzed.",

keywords = "Different orientation views, Markov random fields, Road detection, SAR images",

author = "Florence Tupin and Bijan Houshmand and Mihai Datcu",

year = "2002",

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AU - Tupin, Florence

AU - Houshmand, Bijan

AU - Datcu, Mihai

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N2 - This paper deals with the automatic extraction of the road network in dense urban areas using a few-meters-resolution synthetic aperture radar (SAR) images. The first part presents the proposed method, which is an adaptation of previous work to the specific case of urban areas. The major modifications are 1) the clique potentials of the Markov random field that extracts the road network are adapted and 2) a multiscale framework is used. Results on shuttle mission and aerial SAR images with different resolutions are presented. The second part is dedicated to road extraction combining two SAR images taken with different flight directions (orthogonal and antiparallel passes), and the obtained improvement is analyzed.

AB - This paper deals with the automatic extraction of the road network in dense urban areas using a few-meters-resolution synthetic aperture radar (SAR) images. The first part presents the proposed method, which is an adaptation of previous work to the specific case of urban areas. The major modifications are 1) the clique potentials of the Markov random field that extracts the road network are adapted and 2) a multiscale framework is used. Results on shuttle mission and aerial SAR images with different resolutions are presented. The second part is dedicated to road extraction combining two SAR images taken with different flight directions (orthogonal and antiparallel passes), and the obtained improvement is analyzed.

KW - Different orientation views

KW - Markov random fields

KW - Road detection

KW - SAR images

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JO - IEEE Transactions on Geoscience and Remote Sensing

JF - IEEE Transactions on Geoscience and Remote Sensing

IS - 11

ER -

Road detection in dense urban areas using SAR imagery and the usefulness of multiple views

Abstract

Keywords

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