The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 23, 2023

Filed:

Aug. 23, 2021
Applicant:

Climate Llc, Saint Louis, MO (US);

Inventors:

Wei Guan, Fremont, CA (US);

Pramithus Khadka, Saint Louis, MO (US);

Jeffrey Gerard, Seattle, WA (US);

Assignee:

CLIMATE LLC, Saint Louis, MO (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/60 (2022.01); G06K 9/62 (2022.01); G06V 10/30 (2022.01); G06V 10/42 (2022.01); G06V 10/56 (2022.01); G06V 20/13 (2022.01); G06V 30/24 (2022.01); G06T 7/60 (2017.01); G06T 7/194 (2017.01); G06V 20/10 (2022.01); G06F 18/24 (2023.01); G06F 18/20 (2023.01); G06F 18/214 (2023.01); G06F 18/2411 (2023.01);
U.S. Cl.
CPC ...
G06V 10/60 (2022.01); G06F 18/2148 (2023.01); G06F 18/24 (2023.01); G06F 18/2411 (2023.01); G06F 18/285 (2023.01); G06T 7/194 (2017.01); G06T 7/60 (2013.01); G06V 10/30 (2022.01); G06V 10/42 (2022.01); G06V 10/56 (2022.01); G06V 20/13 (2022.01); G06V 30/248 (2022.01); G06T 2207/30192 (2013.01); G06V 20/194 (2022.01); G06V 30/2528 (2022.01);
Abstract

A system for detecting clouds and cloud shadows is described. In one approach, clouds and cloud shadows within a remote sensing image are detected through a three step process. In the first stage a high-precision low-recall classifier is used to identify cloud seed pixels within the image. In the second stage, a low-precision high-recall classifier is used to identify potential cloud pixels within the image. Additionally, in the second stage, the cloud seed pixels are grown into the potential cloud pixels to identify clusters of pixels which have a high likelihood of representing clouds. In the third stage, a geometric technique is used to determine pixels which likely represent shadows cast by the clouds identified in the second stage. The clouds identified in the second stage and the shadows identified in the third stage are then exported as a cloud mask and shadow mask of the remote sensing image.


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