Atmospheric Vision 0.35 microm less, similarlambda less, similar 14 microm

Area of Science:

• Atmospheric optics
• Remote sensing
• Image analysis

Background:

• Atmospheric vision describes how objects are perceived through the atmosphere, influenced by wavelength and atmospheric conditions.
• Existing theories like Koschmieder's provide a basis but require refinement for modern imaging technologies.
• Understanding atmospheric vision is crucial for applications ranging from surveillance to environmental monitoring.

Purpose of the Study:

• To develop a comprehensive analytical description of atmospheric vision across a broad spectral range (0.35–14 µm).
• To establish a general vision formula based on signal-to-noise ratio and apparent radiance difference.
• To propose new metrics for atmospheric visibility, including a wavelength-dependent meteorological range.

Main Methods:

• Utilizing signal-to-noise ratio (SNR) as the fundamental limiting factor for apparent radiance difference.
• Deriving a general vision formula incorporating contrast, contrast degradation, and contrast threshold.
• Analyzing photon-noise limited and detector-noise limited imaging devices, including path radiance effects.
• Extending Koschmieder's theory as a special case.

Main Results:

• A general vision formula (Eq. 18) is established, quantifying atmospheric vision limits.
• The formula accounts for contrast, contrast degradation, and contrast threshold, applicable to photon-noise limited devices.
• Thermal vision in the atmosphere is analyzed, considering both photon-noise and detector-noise limitations.
• A wavelength-dependent meteorological range (Vλ) and a device-specific standard maximum range (Vs) are proposed.

Conclusions:

• The presented framework offers a more generalized approach to atmospheric vision than previous theories.
• The new metrics provide a more accurate characterization of atmospheric visibility for diverse imaging systems.
• This work advances the understanding and quantification of atmospheric effects on image quality across a wide spectral range.