Satellite remote sensing reflectivity product data residual error correction method

Abstract

The invention provides a satellite remote sensing reflectivity product data residual error correction method so as to quickly and effectively remove the remote sensing reflectivity product data residual error and improve the data precision of an ocean water color satellite product. A remote sensing reflectivity data residual spectrum relation reconstruction method is provided, and remote sensing reflectivity data residual spectrum characteristics are analyzed more simply and conveniently; in combination with a neural network technology, a method for extracting a spectrum slope coefficient of a residual error of remote sensing reflectivity data from satellite remote sensing reflectivity information is provided, and spatial and temporal variation characteristics of residual spectrum characteristics of the remote sensing reflectivity data of a satellite image can be described more finely; and the method is used for ocean water body remote sensing reflectivity product data residual error correction, remote sensing reflectivity products with more reasonable numerical values and more stable and reliable space-time distribution can be obtained, and production of high-precision water color products is supported.

Description

technical field [0001] The invention belongs to the technical field of marine optical remote sensing, and in particular relates to a method for correcting residual error of satellite remote sensing reflectivity product data. Background technique [0002] Ocean optical remote sensing technology is an emerging detection technology, which can detect the water color information of the sea surface through the detectors on the remote sensing platform to obtain marine information, and has been widely used in marine ecological environment monitoring, marine disaster impact monitoring and assessment, etc. It has greatly improved the ability of human beings to deal with natural disasters and global climate change. Since the first ocean color satellite came out in 1978, water color remote sensing has made great progress in the process of air-sea radiative transfer, marine bio-optical mechanism, and authenticity testing of satellite products. [0003] Remote Sensing Albedo Data R rs I...

AI Technical Summary

Problems solved by technology

[0007] In order to solve the problem of inaccurate monitoring and low reliability of marine data in the field of marine remote sensing, the present invention proposes a method for correcting the residual error of satellite remote sensing albedo product data to quickly and effectively remove the residual error of remote sensing albedo product data and improve Data Accuracy of Ocean Color Satellite Products

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