Remote sensing image super resolution method based on dictionary learning

A remote sensing image, super-resolution technology, applied in the field of remote sensing image super-resolution based on dictionary learning, can solve the problem of slow reconstruction speed and so on

CN106157240AActive Publication Date: 2016-11-23NANJING UNIV OF SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2016-11-23

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Abstract

The invention provides a remote sensing image super resolution method based on dictionary learning, comprising the following steps: S1, performing dictionary learning of corresponding feature types based on an image library of different feature types; S2, identifying the feature type of an original image; and S3, carrying out an image super resolution reconstruction process using a corresponding feature type dictionary. The invention puts forward a super resolution method based on dictionary learning using the idea of feature classification. As the number of atoms in a dictionary used in the reconstruction process is reduced greatly, the dictionary scale is reduced greatly. The proportion of effective atoms in the classification dictionary used is increased significantly, so that the number of effective atoms in the dictionary used in the reconstruction process is almost the same as a general dictionary, and the speed of reconstruction is improved significantly while the quality of reconstruction is ensured. The process only involves the adjustment of parameters, the computation efficiency is high, and the reconstruction quality of remote sensing images is high.
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Description

technical field

[0001] The invention relates to the technical field of remote sensing imaging, in particular to a method for super-resolution of remote sensing images based on dictionary learning. Background technique

[0002] With the development of computer science and space science, remote sensing technology, especially remote sensing imaging, has developed rapidly. Image spatial resolution is a key index for evaluating the quality of remote sensing images, and also an important parameter in the application of remote sensing imaging, which is crucial in the acquisition and application of images. Compared with traditional low-resolution remote sensing images, high-resolution remote sensing images can clearly express the characteristic distribution and spatial correlation of ground objects, and can distinguish the more detailed structural composition of ground objects, providing a basis for interpretation and analysis. Excellent condition and foundation. In recent years, ...

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Embodiment Construction

[0057] In order to better understand the technical content of the present invention, specific embodiments are given together with the attached drawings for description as follows.

[0058] Aspects of the invention are described in this disclosure with reference to the accompanying drawings, which show a number of illustrated embodiments. Embodiments of the present disclosure are not necessarily intended to include all aspects of the invention. It should be appreciated that the various concepts and embodiments described above, as well as those described in more detail below, can be implemented in any of numerous ways, since the concepts and embodiments disclosed herein are not limited to any implementation. In addition, some aspects of the present disclosure may be used alone or in any suitable combination with other aspects of the present disclosure.

[0059] This disclosure uses the idea of ​​object classification to propose a super-resolution method based on a classificati...