Remote sensing night light data desaturation method

Abstract

The embodiment of the invention discloses a remote sensing night light data desaturation method and device, a storage medium and computer equipment. The method comprises the following steps of obtaining an enhanced vegetation index and daily average surface temperature data in a space area where a city is located; calculating the mean value of the enhanced vegetation index and the daily average surface temperature data of the saturated pixel area; and performing desaturation correction on the remote sensing night light data of the saturated pixel area by utilizing the sum of the two ratios ofthe enhanced vegetation index and the average value thereof, and the average value of the daily average surface temperature data and the daily average surface temperature data. According to the remotesensing night light data desaturation method, desaturation of remote sensing night light data of metropolis can be realized, and the precision of the remote sensing night light data applied to quantitative analysis of urban economy, population and the like is improved.

Description

technical field [0001] The embodiments of the present application relate to the technical field of remote sensing image processing, and in particular to a method, device, storage medium and computer equipment for desaturation of remote sensing night light data. Background technique [0002] Nighttime light (NTL) is closely related to human activities, and the density and intensity of lighting facilities can reflect the intensity of human activities and economic prosperity in the region to a certain extent. Night light remote sensing images can reflect the lights of cities and towns at night, and can also capture forest fires, natural gas burning, and the glow of fishing boats at night, etc. , fishery monitoring, major event assessment and many other research fields. [0003] DMSP / OLS remote sensing night light data is one of the main data sources of night light remote sensing. It has the advantages of free acquisition, low-intensity light detection, cloud elimination and ba...

AI Technical Summary

Problems solved by technology

However, DMSP / OLS remote sensing nighttime light data often show saturation of line resistance on impervious surfaces in metropolises, that is, after the DN (Digital Number) value reaches a peak value of 63, the DN value cannot continue to increase as the brightness of the light continues to increase.

This deficiency will affect the application of the data, especially when using the data for quantitative analysis of relevant parameters such as economy and population, it will reduce the accuracy of the results

Images