Efficient haze removal method suitable for large-scale optical remote sensing image

An optical remote sensing, large-scale technology, applied in the field of large-scale optical remote sensing image haze removal, medium and low spatial resolution optical remote sensing imagery

Active Publication Date: 2020-06-30
莫登奎
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Problems solved by technology

[0004] To sum up, the problem existing in the existing technology is: how to construct a more accurate HTM considering the interference effect of br

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  • Efficient haze removal method suitable for large-scale optical remote sensing image
  • Efficient haze removal method suitable for large-scale optical remote sensing image
  • Efficient haze removal method suitable for large-scale optical remote sensing image

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[0045]In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0046] The main challenge at present is how to construct a more accurate HTM considering the interference effect of bright ground objects, especially for VHR satellite images with complex haze in densely built areas, which has not been reported yet.

[0047] Aiming at the haze phenomenon in VHR multi-spectral remote sensing images, the present invention provides a new simple and general haze detection and removal method, which will be described in detail below in conjunction with the accompanying drawings.

[0048] like figure 1 As shown, the efficient method for removing haze from large-scale optical remote sensing images ...

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Abstract

The invention belongs to the technical field of high-resolution optical remote sensing image preprocessing, and discloses an efficient method suitable for large-scale optical remote sensing image hazeremoval. The method comprises the following steps: inputting original remote sensing data and default parameters; calculating a pixel intensity norm; calculating a haze thickness image; calculating ahaze thickness mask image; calculating a refined haze thickness image; extracting a large-patch haze image Haze_map_majorsity and a pixel position map, and obtaining a large-patch haze image Haze_map_majorsity; calculating a haze sensitive pixel HTMi (x, y); haze is removed; haze compensation. According to the efficient haze removal method suitable for large-scale optical remote sensing images, HTM is estimated from an average vector L2-norm of a given sample window blue band, a compensation strategy of fog-free pixels and fog pixels is improved, the method has been successfully applied to various VHR optical satellite images with complex haze coverage in a dense area, and a reference value is provided for haze removal and haze degree evaluation of a remote sensing image.

Description

technical field [0001] The invention belongs to the technical field of high-resolution (Very High Resolution, VHR) optical remote sensing image preprocessing, and in particular relates to an efficient method for removing haze from large-scale optical remote sensing images, and is also applicable to medium and low spatial resolution optical remote sensing image. Background technique [0002] Currently, when acquiring imagery from satellites or aircraft, different characteristics of the atmosphere can lead to poor image quality and visual interpretability. Water vapor and water droplets, smog, dust, and aerosols are all considered "haze" because they have similar effects in reducing image quality through scattering and spectral distortion in the visible spectral band, greatly compromising useful analysis. Contrary to the clouds in the image, the transparency of the image affected by haze can be compensated to a certain extent by image restoration techniques. Therefore, there...

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Application Information

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IPC IPC(8): G06T5/00G06T7/13
CPCG06T5/003G06T7/13G06T2207/10032G06T2207/30168
Inventor 莫登奎
Owner 莫登奎
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