Planetary crater detection and registration using marked point processes, graph cut algorithms, and wavelet transforms

Gotelli, Alberto; Moigne, Jacqueline Le; Moser, Gabriele

doi:10.1109/igarss.2017.8127457

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Marked Point Process Based Algorithms1

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2017

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“…Hausdorff distance and Mutual Information were used as similarity metrics; both a multi-resolution approach and a regionbased approach were used as search strategies, and a genetic algorithm provided the feature matching. Results are presented in [22] and [23].…”

Section: Marked Point Process Based Algorithmsmentioning

confidence: 99%

Introduction to remote sensing image registration

Moigne

2017

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

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For many applications, accurate and fast image registration of large amounts of multi-source data is the first necessary step before subsequent processing and integration. Image registration is defined by several steps and each step can be approached by various methods which all present diverse advantages and drawbacks depending on the type of data, the type of applications, the a priori information known about the data and the type of accuracy that is required. This paper will first present a general overview of remote sensing image registration and then will go over a few specific methods and their applications.

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Section: Marked Point Process Based Algorithmsmentioning

confidence: 99%