&lt;title&gt;Target-independent algorithms for description and structural matching of aerospace photographs&lt;/title&gt;

Lutsiv, V. R.; Malyshev, I. A.; Pepelka, Vadim; Potapov, Alexey

doi:10.1117/12.478732

Cited by 11 publications

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“…The acquired theoretic results were practically implemented in improvement the structural matching algorithm described in [7]. The algorithm uses the straight lines and corners constructed on the base of contours (see Fig.…”

Section: Resultsmentioning

confidence: 99%

“…Many particular approaches to image representation were developed, which made use of a priori restrictions typical for the application at hand. A number of generally applicable image analysis techniques were also proposed [4,6,7] . However, the theoretical approaches are usually restricted to the low-level image representations, and the higher level (structural and symbolic) descriptions of images are obtained by various heuristic methods.…”

Section: Introductionmentioning

confidence: 99%

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<title>Information-theoretic approach to image description and interpretation</title>

Potapov

Lutsiv

2004

SPIE Proceedings

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We present an information-theoretic approach to the image interpretation problems. In the context of this approach such tasks as contour extracting, constmcting the most informative image features and image matching are described as a single unified problem. Our approach is based primarily on the interpretation ofthe image (or image set) representation problem as a Minimum Description Length (MDL) problem. The image matching turns out to be a generally adopted method of images alignment by maximization of their mutual information. However, instead of using the pixels intensities themselves a more condensed data representation form can be used to reduce the dimensionality of input data and to extract the invariant information: hierarchical image structural description. Though we developed and successfully applied the informationtheoretic approach for the images matching, it can be extended to the other problems, e.g. the changes detection.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

<title>Information-theoretic approach to image description and interpretation</title>

Potapov

Lutsiv

2004

SPIE Proceedings

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“…We use a multi-stage algorithm of image registration [Lutsiv, 2002], [Middelmann, 2003] composed of three separate matching algorithms. The first matching algorithm is based on juxtaposition of the pieces of straight lines detected using the contour information; it is intended for working with the narrow range of possible types of images but has the highest speed and good reliability.…”

Section: Image Registrationmentioning

confidence: 99%

Change detection in satellite images

Thönnessen

Hofele

Middelmann

2005

Signal Processing, Sensor Fusion, and Target Recognition XIV

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Change detection plays an important role in different military areas as strategic reconnaissance, verification of armament and disarmament control and damage assessment. It is the process of identifying differences in the state of an object or phenomenon by observing it at different times. The availability of spaceborne reconnaissance systems with high spatial resolution, multi spectral capabilities, and short revisit times offer new perspectives for change detection. Before performing any kind of change detection it is necessary to separate changes of interest from changes caused by differences in data acquisition parameters. In these cases it is necessary to perform a pre-processing to correct the data or to normalize it. Image registration and, corresponding to this task, the ortho-rectification of the image data is a further prerequisite for change detection. If feasible, a 1-to-1 geometric correspondence should be aspired for. Change detection on an iconic level with a succeeding interpretation of the changes by the observer is often proposed; nevertheless an automatic knowledge-based analysis delivering the interpretation of the changes on a semantic level should be the aim of the future. We present first results of change detection on a structural level concerning urban areas. After preprocessing, the images are segmented in areas of interest and structural analysis is applied to these regions to extract descriptions of urban infrastructure like buildings, roads and tanks of refineries. These descriptions are matched to detect changes and similarities.

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Automatic Estimation for Parameters of Image Projective Transforms Based on Object-Invariant Cores

Lutsiv

2014

Computer Vision in Control Systems-1

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<title>Target-independent algorithms for description and structural matching of aerospace photographs</title>

Cited by 11 publications

References 0 publications

<title>Information-theoretic approach to image description and interpretation</title>

<title>Information-theoretic approach to image description and interpretation</title>

Change detection in satellite images

Automatic Estimation for Parameters of Image Projective Transforms Based on Object-Invariant Cores

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