Probe of airborne multi wave section bidirection atmosphere radiation detecting instrument

Abstract

The present invention disclosed a probe of airborne multi-band bidirectional atmospheric radiation detecting instrument. It is characterized by that on a rigid component thee mutually-parallel vertical channels and three mutually-parallel oblique channels ore set, every vertical channel is adjacent to one oblique channel, and included angle between them is 55 deg. so as to form a group of spectral channels, in the optical circuit of every channel are successively mounted lens, filter, light diaphragm and photoelectric diode detector, the spectral wave bands of filters of two groups of atmospheric spectral channels are respectively 550 nm and 670 nm, the spectral band width of them is 20 nm, and the spectral wave band of filter of another group of ground background spectral channel is 1640 nm, and its spectral band width is 40nm.

Description

technical field [0001] The invention belongs to optical and electronic measurement, in particular to an airborne multi-band two-way atmospheric radiation detector. Background technique [0002] In the early days of quantitative remote sensing, people tried to bypass the problem of atmospheric correction by using the vegetation index (NDVI) (Tucker, 1979), although in fact it did significantly reduce the influence of the atmosphere (Kaufrnan and Tanré, 1992), but it can The remote sensing products provided are single, and their functions are limited by regions and seasons. [0003] To improve the application effect of satellite data, it is impossible to circumvent the problem of atmospheric correction, so the research on direct atmospheric correction using radiative transfer calculation has been widely developed (Moran et al., 1992). This method fundamentally solves the problem of atmospheric correction of various remote sensing products. However, the application of this me...

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Problems solved by technology

The dark target itself has its own natural defects: first, the ground is a premise of water or dense vegetation, which limits the inversion area; second, the dark target inversion method is based on assumptions and statistics Basically, this determines that the error sources are difficult to overcome, and these error sources are even large in some cases, such as in the case of polluted offshore waters, etc.

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