Spectral curve retrieval method and engine based on Lucene

A spectral curve and indexing technology, which is applied in the field of hyperspectral remote sensing images, can solve the problems of weak batch processing and poor software scalability, and achieve the effects of improving retrieval efficiency, simple and convenient operation, and speeding up the speed of reading files

Active Publication Date: 2015-09-23
TSINGHUA UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the algorithms in related technologies generally ignore the requirements for matching speed while improving accuracy, and the software has poor scalability, which is only suitable for spectral analysis in research, and requires batch processing and further networked cloud processing. All are weak, there is a need for improvement

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  • Spectral curve retrieval method and engine based on Lucene
  • Spectral curve retrieval method and engine based on Lucene
  • Spectral curve retrieval method and engine based on Lucene

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Embodiment Construction

[0037] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0038] In addition, the terms "first" and "second" are used for descriptive purposes only, and cannot be interpreted as indicating or implying relative importance or implicitly specifying the quantity of indicated technical features. Thus, a feature defined as "first" and "second" may explicitly or implicitly include one or more of these features. In the description of the present invention, "plurality" means two or more, unless otherwise specifically defined.

[0039] In the present invention, unless otherwise clearly specified...

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Abstract

The invention discloses a spectral curve retrieval method and engine based on Lucene. The method comprises the following steps: opening an index folder through an FSDirectory class of the Lucene; selecting index characteristics, and utilizing the Lucene to establish an index for a curve file in a spectral library; calling an IndexWriter class of the Lucene to write the established index into the index folder; inputting a file to be retrieved; and opening the index folder, and adopting linear search to successively carry out similarity comparison on Document index files in the folder with an input characteristic array so as to return a retrieval result according to the similarity of the selected characteristics from the index folder. The method of the embodiment utilizes the Lucene to establish the index for the curve filed in the spectral library so as to return the retrieval result according to the similarity of the selected characteristics from the index files during retrieval, a purpose that file reading speed is quickened is realized, retrieval efficiency is improved, and the method is simple and convenient.

Description

technical field [0001] The invention relates to the technical field of hyperspectral remote sensing images, in particular to a Lucene-based spectral curve retrieval method and engine. Background technique [0002] The purpose of remote sensing is to conduct in-depth research on various natural environment elements through qualitative and quantitative analysis of images. Among them, due to the difference in composition, the coverage of ground objects forms typical spectral reflection characteristics that can be diagnosed, which becomes the physical basis of spectral identification of ground objects. So far, the selection of working bands of various aviation and aerospace remote sensing instruments is closely related to the analysis of spectral characteristics. The spectral matching model compares the pixel spectrum retrieved from the hyperspectral image with the reference spectrum, and then calculates the similarity or difference between them, highlights the characteristic s...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/148G06F16/16
Inventor 戴琼海张新李菲菲廖智宏
Owner TSINGHUA UNIV
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