Accession Number:

ADA621617

Title:

Automated Sunspot Detection and Classification Using SOHO/MDI Imagery

Descriptive Note:

Master's thesis

Corporate Author:

AIR FORCE INSTITUTE OF TECHNOLOGY WRIGHT-PATTERSON AFB OH GRADUATE SCHOOL OF ENGINEERING AND MANAGEMENT

Personal Author(s):

Report Date:

2015-03-01

Pagination or Media Count:

90.0

Abstract:

This research modifies and expands previous work by Spahr in 2014 to automatically identify and classify sunspot groups in satellite images. Data from the Solar and Heliospheric Observatory SOHO are analyzed to produce a database of sunspot information that is not biased by individual solar observers. Results of the algorithm on SOHOMDI data correlate well with NOAAs reported data for region properties with R2 values greater than 0.75, but with a ratio of less than one. In particular, the results of analyzing SOHO data report less than 25 of the spots reported by NOAA. By considering a test case comparison with an SDO observation, resolution is likely the main factor in detection discrepancies. 15.

Subject Categories:

  • Astrophysics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE