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Posted on February 15, 2023 (Updated on July 10, 2025)

Pansharpening of atmospheric corrected image

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What is Pansharpening in remote sensing?

Pansharpening is a fusion technique to combine a panchromatic image of high spatial resolution with multispectral image data of lower spatial resolution to obtain a high-resolution multispectral image. During this process, the significant spectral characteristics of the multispectral data should be preserved.

What is the process of atmospheric correction?

Atmospheric correction of the radiative transfer method involves simulating the relationship between the atmospheric parameters of the satellite synchronization and the true reflectivity of the surface by simulating the radiation transmission process between the atmospheric–surface remote sensor.

What are some approaches for correcting atmospheric effects in an image?

The method of atmospheric correction consists of three methods: radiative transfer, relative correction based on image characteristics and surface linear regression.

What is atmospheric correction in photogrammetry?

Atmospheric correction is the process of removing the scattering and absorption effects of the atmosphere on the reflectance values of images taken by satellite or airborne sensors.

What is the purpose of Pansharpening?

The purpose of pan sharpening is to create a higher quality visual image. Since the techniques alter the radiometry and spectral characteristics of the multiband imagery, pan sharpened imagery needs to be used with caution for analytical remote sensing purposes.

What is the purpose of pan sharpening?

Panchromatic sharpening (pan-sharpening) is a technique that combines the high-resolution detail from a panchromatic band with the lower-resolution color information of other bands (usually only the visible bands).
 

Why is atmospheric correction needed?

Atmospheric correction of optical imagery typically means removing the effects of clouds and aerosols from a radiance image. The result is an apparent surface reflectance image, which can be used to extract accurate spectral information from features on the Earth’s surface.
 

What is the importance of atmospheric correction?

The objective of atmospheric correction is to determine true surface reflectance values by removing atmospheric effects from satellite images. Atmospheric correction is arguably the most important part of the pre-processing of satellite remotely sensed data and any omission produces erroneous results.
 

What is atmospheric correction of satellite imagery?

Quote from video:

What does panchromatic mean in GIS?

[remote sensing] Sensitive to light of all wavelengths in the visible spectrum.

What is the difference between panchromatic and multispectral?

Panchromatic indicates it accepts all colours , meaning the band has very wide signal range. Multispectral indicates that the sensor has the capability to accept signal in various narrower bands seperately. Often, Panchromatic bands have very high signal compared to multispectral bands.
 

What are the disadvantages of pansharpening?

However, limited to the patch-based manner, pansharpening with traditional SR model faces two disadvantages, i.e., limited ability in detail preservation and high sensitivity to misregistration.
 

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