Method and system for selecting reference probe element of linear array scanning remote sensor

Abstract

The embodiment of the invention provides a method and system for selecting a reference probe element of a linear array scanning remote sensor. The method comprises the steps: obtaining an original remote sensing image, correcting the original remote sensing image through relative calibration, and obtaining a corrected image; calculating to obtain an image average brightness change index, an imageinformation entropy index and an image radiation resolution index based on the original remote sensing image and the corrected image; the method comprises the following steps: calculating an image average brightness change index, an image information entropy index and an image radiation resolution index to obtain a probe element comprehensive score, and selecting a probe element with the highest probe element comprehensive score as a reference probe element for relative calibration; aiming at the problem of how to select a reference probe element in the relative calibration process of a lineararray scanning remote sensor, the embodiment of the invention provides a scoring method based on probe element output code value distribution characteristics, the probe element with the highest scoreis selected as the reference probe element, and the most suitable reference probe element is selected from the perspective of statistical characteristics of earth observation data.

Description

technical field [0001] The invention relates to the technical field of remote sensing, in particular to a method and a system for selecting reference probe elements of a linear scanning remote sensor. Background technique [0002] In linear array scanning imaging remote sensing data, streaks are very common. For example, the Medium Resolution Spectral Imager (MERSI) of Fengyun-3 (FY-3) is a linear array instrument with 10 / 40 probes. There are streaks in the original image. This kind of fringe phenomenon is generally corrected by relative calibration between detectors to remove fringes. [0003] At present, there are mainly three types of relative calibration methods: one is to use on-board normalization, that is, to use electronic technology to convert the original sampled code value (Digital Number, DN) into linear Transform and round up before downloading. This method can greatly suppress streaks, but often not completely. The other is based on computer image algorithm...

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Problems solved by technology

[0004] In this kind of relative calibration method, the reference detector is the key technical parameter. Selecting different detectors in the channel as the reference detector will cause the remote sensing image quality after relative calibration to be different. The existing selection of reference detectors The method generally uses the detector with the most sensitive radiation response as the reference detector, but this method of using a single measurement standard cannot fully reflect the influence of the reference detector selection on the corrected image

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