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:
Apr. 16, 2019

Filed:

Jul. 18, 2016
Applicant:

Chiman Kwan, Rockville, MD (US);

Inventor:

Chiman Kwan, Rockville, MD (US);

Assignee:

Other;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06K 9/00 (2006.01); G06T 7/33 (2017.01); G06T 7/35 (2017.01); G06T 3/00 (2006.01);
U.S. Cl.
CPC ...
G06K 9/0063 (2013.01); G06K 9/627 (2013.01); G06K 9/6289 (2013.01); G06T 3/0068 (2013.01); G06T 7/33 (2017.01); G06T 7/35 (2017.01); G06K 2009/00644 (2013.01); G06T 2207/10032 (2013.01); G06T 2207/30181 (2013.01);
Abstract

The present invention is to incorporate a novel two-step image registration algorithm that can achieve sub-pixel accuracy in order to provide a method and system that can significantly improve the remote monitoring performance of coral reefs and volcanoes using a future NASA remote imager known as HyspIRI, by increasing the spatial and temporal resolution of remote sensing data from multiple satellites. Our invention focuses on change detection, multiple images registration, target detection, coral reef and volcano monitoring. The objectives are achieved by accurate and early change detection in coral health, and volcanic activities, such as, by detecting color changes in crater lakes; accurate bottom-type classification in coral reefs; accurate concentration estimation of SO, volcanic ashes, etc.; high temporal resolution of monitoring so that early mitigation steps can be activated; and high spatial resolution in multispectral and hyperspectral images. The same system can also be applied to other remote monitoring applications, such as, soil moisture monitoring.


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