General Dynamics Mission Systems, Inc.

Arizona State University

General Dynamics C4 Systems, Inc.

Jennie Si

Glen Patrick Abousleman

Xiang Gao

Eric Munson

Huibao Lin

Methods and systems are provided for detecting a defect in a solar panel. The method includes initially imaging, via an infrared camera, a group of solar panels. Then, identifying, via a computer system configured for solar panel defect detection, the individual solar panels in the group of solar panels. Finally, identifying, via evaluation of an infrared image obtained by the infrared camera, a defect in at least one of the group of solar panels.

System and methods for automatic solar panel recognition and defect detection using infrared imaging

Methods for generating an image mosaic are provided. In one respect, pixels saliency of a first image and a second image are determined. One salient pixel may be selected from the determined pixels saliency group of the first image and one salient pixel may be selected from the determined pixels saliency group of the second image. A mosaicking technique of the first and second image may be performed if the one salient pixel of the first image and the one salient pixel of the second image are registered successfully.

Methods for multi-point descriptors for image registrations

A knowledge-based hierarchical method for detecting regions of interests (ROIs) uses prior knowledge of the targets and the image resolution in detecting ROIs. The result produces ROIs that contain only one target that is completely enclosed within the ROI. The detected ROI can conform to the shape of the target even if the target is of irregular shape. Furthermore, the method works well with images that contain connected targets or targets broken into pieces. The method is not sensitive to contrast levels and is robust to noise. Thus, this method effectively detects ROIs in common real world imagery that has a low resolution without costly processing while providing fast and robust results.

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Phoenix, AZ, United States of America

Jennie Si