@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)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4142--4145",
booktitle = "2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings",
address = "United States",
note = "33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 ; Conference date: 21-07-2013 Through 26-07-2013",
}