Robust detection of road segments in noisy aerial images

Nathan S. Netanyahu; Vasanth Philomin; Azriel Rosenfeld; Arnold J. Stromberg

doi:10.1109/icpr.1996.546742

Robust detection of road segments in noisy aerial images

Nathan S. Netanyahu, Vasanth Philomin, Azriel Rosenfeld, Arnold J. Stromberg

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

This paper treats the problem of detecting straight or circular pieces of road in noisy aerial images. It first uses a local nonlinear operator to detect pixels whose neighborhoods are line-like, and then applies (robust) estimation techniques to find sets of such pixels that lie on, or near straight or circular loci. An (unbiased) ordinary least squares estimator cannot handle outlying data; on the other hand, conventional robust techniques for fitting circular arcs are severely affected by digitization effects and the fact that road circular segments are typically short and shallow. We therefore introduce an estimator that is both robust and statistically efficient.

Original language	English
Title of host publication	Track B
Subtitle of host publication	Pattern Recognition and Signal Analysis
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	151-155
Number of pages	5
ISBN (Print)	081867282X, 9780818672828
DOIs	https://doi.org/10.1109/icpr.1996.546742
State	Published - 1996
Externally published	Yes
Event	13th International Conference on Pattern Recognition, ICPR 1996 - Vienna, Austria Duration: 25 Aug 1996 → 29 Aug 1996

Publication series

Name	Proceedings - International Conference on Pattern Recognition
Volume	2
ISSN (Print)	1051-4651

Conference

Conference	13th International Conference on Pattern Recognition, ICPR 1996
Country/Territory	Austria
City	Vienna
Period	25/08/96 → 29/08/96

Keywords

Line fitting
circular arc fitting
nonlinear regression
ordinary least squares
robust estimators

Access to Document

10.1109/icpr.1996.546742

Cite this

Netanyahu, N. S., Philomin, V., Rosenfeld, A., & Stromberg, A. J. (1996). Robust detection of road segments in noisy aerial images. In Track B: Pattern Recognition and Signal Analysis (pp. 151-155). Article 546742 (Proceedings - International Conference on Pattern Recognition; Vol. 2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/icpr.1996.546742

@inproceedings{cc55d2a31fab4f1d9ac5c594b5f3657d,

title = "Robust detection of road segments in noisy aerial images",

abstract = "This paper treats the problem of detecting straight or circular pieces of road in noisy aerial images. It first uses a local nonlinear operator to detect pixels whose neighborhoods are line-like, and then applies (robust) estimation techniques to find sets of such pixels that lie on, or near straight or circular loci. An (unbiased) ordinary least squares estimator cannot handle outlying data; on the other hand, conventional robust techniques for fitting circular arcs are severely affected by digitization effects and the fact that road circular segments are typically short and shallow. We therefore introduce an estimator that is both robust and statistically efficient.",

keywords = "Line fitting, circular arc fitting, nonlinear regression, ordinary least squares, robust estimators",

author = "Netanyahu, {Nathan S.} and Vasanth Philomin and Azriel Rosenfeld and Stromberg, {Arnold J.}",

year = "1996",

doi = "10.1109/icpr.1996.546742",

language = "אנגלית",

isbn = "081867282X",

series = "Proceedings - International Conference on Pattern Recognition",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "151--155",

booktitle = "Track B",

address = "ארצות הברית",

note = "13th International Conference on Pattern Recognition, ICPR 1996 ; Conference date: 25-08-1996 Through 29-08-1996",

}

Netanyahu, NS, Philomin, V, Rosenfeld, A & Stromberg, AJ 1996, Robust detection of road segments in noisy aerial images. in Track B: Pattern Recognition and Signal Analysis., 546742, Proceedings - International Conference on Pattern Recognition, vol. 2, Institute of Electrical and Electronics Engineers Inc., pp. 151-155, 13th International Conference on Pattern Recognition, ICPR 1996, Vienna, Austria, 25/08/96. https://doi.org/10.1109/icpr.1996.546742

Robust detection of road segments in noisy aerial images. / Netanyahu, Nathan S.; Philomin, Vasanth; Rosenfeld, Azriel et al.
Track B: Pattern Recognition and Signal Analysis. Institute of Electrical and Electronics Engineers Inc., 1996. p. 151-155 546742 (Proceedings - International Conference on Pattern Recognition; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Robust detection of road segments in noisy aerial images

AU - Netanyahu, Nathan S.

AU - Philomin, Vasanth

AU - Rosenfeld, Azriel

AU - Stromberg, Arnold J.

PY - 1996

Y1 - 1996

N2 - This paper treats the problem of detecting straight or circular pieces of road in noisy aerial images. It first uses a local nonlinear operator to detect pixels whose neighborhoods are line-like, and then applies (robust) estimation techniques to find sets of such pixels that lie on, or near straight or circular loci. An (unbiased) ordinary least squares estimator cannot handle outlying data; on the other hand, conventional robust techniques for fitting circular arcs are severely affected by digitization effects and the fact that road circular segments are typically short and shallow. We therefore introduce an estimator that is both robust and statistically efficient.

AB - This paper treats the problem of detecting straight or circular pieces of road in noisy aerial images. It first uses a local nonlinear operator to detect pixels whose neighborhoods are line-like, and then applies (robust) estimation techniques to find sets of such pixels that lie on, or near straight or circular loci. An (unbiased) ordinary least squares estimator cannot handle outlying data; on the other hand, conventional robust techniques for fitting circular arcs are severely affected by digitization effects and the fact that road circular segments are typically short and shallow. We therefore introduce an estimator that is both robust and statistically efficient.

KW - Line fitting

KW - circular arc fitting

KW - nonlinear regression

KW - ordinary least squares

KW - robust estimators

UR - http://www.scopus.com/inward/record.url?scp=84892285324&partnerID=8YFLogxK

U2 - 10.1109/icpr.1996.546742

DO - 10.1109/icpr.1996.546742

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???

AN - SCOPUS:84892285324

SN - 081867282X

SN - 9780818672828

T3 - Proceedings - International Conference on Pattern Recognition

SP - 151

EP - 155

BT - Track B

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 13th International Conference on Pattern Recognition, ICPR 1996

Y2 - 25 August 1996 through 29 August 1996

ER -

Robust detection of road segments in noisy aerial images

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this