A sift-based mode-seeking procedure for efficient, accurate registration of remotely sensed images

Benny Kupfer; Nathan S. Netanyahu; Ilan Shimshoni

doi:10.1109/IGARSS.2013.6723745

A sift-based mode-seeking procedure for efficient, accurate registration of remotely sensed images

Benny Kupfer, Nathan S. Netanyahu, Ilan Shimshoni

Department of Information Systems

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

Abstract

Several image registration methods, based on the scaled-invariant feature transform (SIFT) technique, have appeared recently in the remote sensing literature. All of these methods attempt to overcome problems encountered by SIFT in multi-modal remotely sensed imagery, in terms of the quality of its feature correspondences. The method presented in this paper performs mode seeking (in transformation space) to eliminate outlying corresponding key-points (i.e., features) and improve the overall match obtained. Preliminary experimental results seem to indicate that our method achieves high accuracy and is rather fast in a variety of test cases.

Original language	English
Title of host publication	2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings
Pages	4142-4145
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2013.6723745
State	Published - 2013
Event	2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Melbourne, VIC, Australia Duration: 21 Jul 2013 → 26 Jul 2013

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference	2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013
Country/Territory	Australia
City	Melbourne, VIC
Period	21/07/13 → 26/07/13

Keywords

Feature correspondence
Image registration
Mode-seeking SIFT
Remotely sensed images

ASJC Scopus subject areas

Computer Science Applications
General Earth and Planetary Sciences

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10.1109/IGARSS.2013.6723745

Cite this

Kupfer, B., Netanyahu, N. S., & Shimshoni, I. (2013). A sift-based mode-seeking procedure for efficient, accurate registration of remotely sensed images. In 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings (pp. 4142-4145). Article 6723745 (International Geoscience and Remote Sensing Symposium (IGARSS)). https://doi.org/10.1109/IGARSS.2013.6723745

@inproceedings{7fb92aa1cf124bf79747a2cbfe844352,

title = "A sift-based mode-seeking procedure for efficient, accurate registration of remotely sensed images",

abstract = "Several image registration methods, based on the scaled-invariant feature transform (SIFT) technique, have appeared recently in the remote sensing literature. All of these methods attempt to overcome problems encountered by SIFT in multi-modal remotely sensed imagery, in terms of the quality of its feature correspondences. The method presented in this paper performs mode seeking (in transformation space) to eliminate outlying corresponding key-points (i.e., features) and improve the overall match obtained. Preliminary experimental results seem to indicate that our method achieves high accuracy and is rather fast in a variety of test cases.",

keywords = "Feature correspondence, Image registration, Mode-seeking SIFT, Remotely sensed images",

author = "Benny Kupfer and Netanyahu, {Nathan S.} and Ilan Shimshoni",

year = "2013",

doi = "10.1109/IGARSS.2013.6723745",

language = "English",

isbn = "9781479911141",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

pages = "4142--4145",

booktitle = "2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings",

note = "2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 ; Conference date: 21-07-2013 Through 26-07-2013",

}

Kupfer, B, Netanyahu, NS & Shimshoni, I 2013, A sift-based mode-seeking procedure for efficient, accurate registration of remotely sensed images. in 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings., 6723745, International Geoscience and Remote Sensing Symposium (IGARSS), pp. 4142-4145, 2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013, Melbourne, VIC, Australia, 21/07/13. https://doi.org/10.1109/IGARSS.2013.6723745

A sift-based mode-seeking procedure for efficient, accurate registration of remotely sensed images. / Kupfer, Benny; Netanyahu, Nathan S.; Shimshoni, Ilan.
2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings. 2013. p. 4142-4145 6723745 (International Geoscience and Remote Sensing Symposium (IGARSS)).

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

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N2 - Several image registration methods, based on the scaled-invariant feature transform (SIFT) technique, have appeared recently in the remote sensing literature. All of these methods attempt to overcome problems encountered by SIFT in multi-modal remotely sensed imagery, in terms of the quality of its feature correspondences. The method presented in this paper performs mode seeking (in transformation space) to eliminate outlying corresponding key-points (i.e., features) and improve the overall match obtained. Preliminary experimental results seem to indicate that our method achieves high accuracy and is rather fast in a variety of test cases.

AB - Several image registration methods, based on the scaled-invariant feature transform (SIFT) technique, have appeared recently in the remote sensing literature. All of these methods attempt to overcome problems encountered by SIFT in multi-modal remotely sensed imagery, in terms of the quality of its feature correspondences. The method presented in this paper performs mode seeking (in transformation space) to eliminate outlying corresponding key-points (i.e., features) and improve the overall match obtained. Preliminary experimental results seem to indicate that our method achieves high accuracy and is rather fast in a variety of test cases.

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DO - 10.1109/IGARSS.2013.6723745

M3 - Conference contribution

AN - SCOPUS:84894276701

SN - 9781479911141

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

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BT - 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings

T2 - 2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013

Y2 - 21 July 2013 through 26 July 2013

ER -

A sift-based mode-seeking procedure for efficient, accurate registration of remotely sensed images

Abstract

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Conference

Keywords

ASJC Scopus subject areas

Access to Document

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