Mutual correction method for DMSP local noctilucent images

Abstract

According to a mutual correction method for DMSP local noctilucent images, noctilucent brightness value detection is carried out on the local small-range images, it is ensured that the noctilucent value range of the images comprises the complete brightness value range of the timing sequence DMSP noctilucent images, and therefore the territory range most suitable for correction is selected, and thecorrection precision is improved; data unification processing is carried out on noctilucent brightness values of all pixels in noctilucent images shot by double satellites at the same moment, and theproblem that data of two different noctilucent images shot by two satellites at the same moment are not unified can be solved; a noctilucent stable area sample does not need to be manually designated, a noctilucent pixel set with the minimum information entropy in an image range can be automatically searched for as a sample for correction, objectivity and reasonability of sample selection are ensured, and correction precision is improved; and mutual correction can be performed on city and county-level small-range time sequence noctilucent images which are relatively rapid in development and change, so that the analysis precision of the DMSP noctilucent images is improved, and the application range of the DMSP noctilucent images is expanded.

Description

technical field [0001] The invention relates to the field of remote sensing science and technology, in particular to a mutual correction method for DMSP local night light images. Background technique [0002] DMSP (Defense Meteorological Satellite Program) satellite is a national defense meteorological satellite launched by the U.S. Department of Defense. Although the night light images acquired by the OLS (Operational Linescan System) sensor on board have problems such as low spatial resolution, easy saturation of brightness, and no radiation calibration, etc. , but due to its wide coverage (global coverage except in high latitudes) and long accumulation of archived data (1992 to 2013), it is still one of the main data sources in the field of luminous remote sensing research. [0003] DMSP satellites adopt a dual-star operation and rotation update system. Since DMSP satellites do not have on-board radiometric calibration capabilities, and there are interference factors suc...

AI Technical Summary

Problems solved by technology

[0004] The existing correction methods all follow the same assumption, that is, "the luminous brightness of most points on the image is stable, and the overall luminous deviation of the image is caused by systematic errors." Therefore, the current DMSP luminous image mutual correction method are only suitable for calibrating large regions at the global or national level

However, for small local areas (such as city and county-level areas) where rapid changes in urban development lead to large changes in night light brightness, the correction results using existing correction methods are not ideal

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