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Journal ArticleDOI

A moment-based approach to registration of images with affine geometric distortion

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TLDR
A new method is described for automatic control point selection and matching that can produce subpixel registration accuracy and is demonstrated by registration of SPOT and Landsat TM images.
Abstract
A new method is described for automatic control point selection and matching. First, reference and sensed images are segmented and closed-boundary regions are extracted. Each region is represented by a set of affine-invariant moment-based features. Correspondence between the regions is then established by a two-stage matching algorithm that works both in the feature space and in the image space. Centers of gravity of corresponding regions are used as control points. A practical use of the proposed method is demonstrated by registration of SPOT and Landsat TM images. It is shown that the authors' method can produce subpixel registration accuracy. >

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Citations
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Journal ArticleDOI

Image registration methods: a survey

TL;DR: A review of recent as well as classic image registration methods to provide a comprehensive reference source for the researchers involved in image registration, regardless of particular application areas.
Book

Remote sensing, models, and methods for image processing

TL;DR: The Nature of Remote Sensing: Introduction, Sensor Characteristics and Spectral Stastistics, and Spatial Transforms: Introduction.
Journal ArticleDOI

An adaptive semiparametric and context-based approach to unsupervised change detection in multitemporal remote-sensing images

TL;DR: An adaptive semiparametric technique for the unsupervised estimation of the statistical terms associated with the gray levels of changed and unchanged pixels in a difference image is presented and a change detection map is generated.
Journal ArticleDOI

A fast direct Fourier-based algorithm for subpixel registration of images

TL;DR: Experimental data presented here show that the new algorithm yields superior registration precision in the presence of aliasing when compared to several earlier methods and has comparable precision to the iterative method of P. Thevenaz et al. (1998).
Journal ArticleDOI

On the independence of rotation moment invariants

TL;DR: It is shown that for any set of invariants there exists a relatively small basis by means of which all other invariants can be generated and how to prove its independence and completeness is presented.
References
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Journal ArticleDOI

Visual pattern recognition by moment invariants

TL;DR: It is shown that recognition of geometrical patterns and alphabetical characters independently of position, size and orientation can be accomplished and it is indicated that generalization is possible to include invariance with parallel projection.
Journal ArticleDOI

A Class of Algorithms for Fast Digital Image Registration

TL;DR: A class of algorithms, which may be used to determine similarity in a far more efficient manner than methods currently in use, is introduced in this paper and may be a saving of computation time of two orders of magnitude or more by adopting this new approach.
Journal ArticleDOI

Pattern recognition by affine moment invariants

TL;DR: The invariants from second- and third-order moments are derived and shown to be complete and to be invariant under general affine transformation and used for recognition of affine-deformed objects.
Journal ArticleDOI

Correlation Techniques of Image Registration

TL;DR: An extension to the basic concept of correlation detection as a means of image registration is developed that utilizes the spatial correlation within each image and greatly improves the detectability of image misregistration.
Journal ArticleDOI

Spatial Registration of Multispectral and Multitemporal Digital Imagery Using Fast Fourier Transform Techniques

TL;DR: The fast Fourier transform (FFT) technique for cross correlation of misregistered imagery to determine spatial distances is discussed in detail and a method of achieving translational, rotational, and scaling corrections between images is described.
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