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Image registration algorithm. Includes SIFT, SAR-SIFT,PSO-SIFT.

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I'm terribly sorry, there are errors of the description in Section-III(B) of the paper “Remote Sensing Image Registration with Modified SIFT and Enhanced Feature Matching”. We have uploaded the errors in document named 《 revised of the PSO-SIFT》.I'm sorry to have affected your reading.

我们已经出版的文章《Remote Sensing Image Registration with Modified SIFT and Enhanced Feature Matching》在第三部分(B)存在一些描述性错误,可能会给你的阅读带来麻烦,因此我们上传了出错的地方,并给出了正确的描述方法,文档名字为“revised of the PSO-SIFT”。

Image-Registration

Image registration algorithm. Includes SIFT, SAR-SIFT,PSO-SIFT.

Author information: Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation, Xidian University, Xi’an, Shaanxi Province, 710071, China(email:[email protected]).

Algorithm description:

  1. SIFT(Scale-invariant feature transform). Reference article: David G. Lowe, "Distinctive Image Features from Scale-Invariant Keypoints"[2004].
  2. SAR-SIFT. Reference article: Flora Dellinger, Julie Delon, Yann Gousseau, Julien Michel, and Florence Tupin, "SAR-SIFT: A SIFT-Like Algorithm for SAR Images"[2015].
  3. PSO-SIFT. Reference article: "Remote Sensing Image Registration with Modified SIFT and Enhanced Feature Matching"[2016].If you do use it, please cite:

Ma W, Wen Z, Wu Y, et al. Remote Sensing Image Registration With Modified SIFT and Enhanced Feature Matching[J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14(1): 3-7.

Test data set description:

Test images are stored in the test images folder.

  1. PA-1 and PA-2 are 614×611 multispectral images. This image pair can be used to test the PSO-SIFT algorithm.
  2. PB-1 and PB-2 are 617×593 multispectral images. This image pair can be used to test the PSO-SIFT algorithm.
  3. Perspective_graf_1.ppm and perspective_graf_2.ppm are natural images with different shooting angles. This image pair can be used to test the SIFT algorithm. It should be pointed out that, perspective transformation model is needed for image pairs with different shooting angles.
  4. Perspective_school_1.jpg and perspective_school_2.jpg are natural images with different shooting angles. This image pair can be used to test the SIFT algorithm.
  5. SAR-SIFT_1.JPG and SAR-SIFT_2.JPG are SAR images. This image pair can be used to test the SAR-SIFT algorithm.

We regret to say that part of the test of remote sensing image do not belong to the public resources.

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Image registration algorithm. Includes SIFT, SAR-SIFT,PSO-SIFT.

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