High-precision cloud and fog detection method and detection device

Abstract

A detection device includes a camera, a processor, and a refining module. The camera is used to capture an image, the processor is coupled to the camera to analyze the image through a plurality of imaging models and output a plurality of atmospheric transmittance images, and the refining module is coupled to the processor to integrate the atmospheric transmittance images to output an atmospheric transmittance image result.

Claims

1. A detection device, comprising: A camera used to capture an image; A processor, coupled to the camera, is used to analyze the image through a plurality of imaging models and output a plurality of atmospheric transmittance images; And a refining module, coupled to the processor, for integrating the atmospheric transmittance images to output an atmospheric transmittance image result.

2. The detection device as claimed in claim 1, wherein the imaging models include a neural network model, a machine learning model, a computer vision model, and / or a non-machine learning model.

3. The detection device as claimed in claim 1, wherein the refining module includes a neural network model, a machine learning model, and / or a linear integration model.

4. The detection device as claimed in claim 1, wherein the imaging models are located on a cloud system.

5. The detection device as claimed in claim 1, wherein the imaging models are located on the detection device.

6. A detection method, comprising: Use a camera to capture an image; A processor is used to analyze the image through multiple imaging models and output multiple atmospheric transmittance images. And use a refining module to integrate these atmospheric transmittance images to output an atmospheric transmittance image result.

7. The detection method as described in claim 6, wherein the imaging models include a neural network model, a machine learning model, a computer vision model, and / or a non-machine learning model.

8. The detection method as described in claim 6, wherein the refined module includes a neural network model, a machine learning model, and / or a linear integration model.

9. The detection method as described in claim 6, wherein the imaging models are located on a cloud system.

10. The detection method as described in claim 6, wherein the imaging models are located on a detection device.

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