Computer Science – Sound
Scientific paper
Jul 1987
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1987e%26psl..84..277b&link_type=abstract
Earth and Planetary Science Letters (ISSN 0012-821X), vol. 84, no. 2-3, July 1987, p. 277-284.
Computer Science
Sound
7
Earth Crust, Magnetic Anomalies, Magnetic Field Inversions, Regression Analysis, Remote Sensing, Tropical Regions, Magsat Satellites, Satellite Sounding
Scientific paper
Anomalies in total field, horizontal, and vertical components over the Indian region derived from Magsat measurements have been inverted through the ridge-regression method, basically to test: (1) the application of the method in deriving a stable estimate of crustal magnetization, and (2) the relative amount of information on crustal magnetization contained in scalar vis-a-vis vector data. Results show that the instabilities in the magnetization solution that appear when Mayhew's conventional method is applied in low latitudes could be removed through the ridge-regression technique. It was also noticed that magnetization distribution estimated through the inversion of the total field (B) does not relate well with the geological features in the equatorial region. It is concluded that a joint inversion of X- and Z- anomalies provides a magnetization estimate consistent with known geological features both for equatorial and higher latitudes.
Bapat V. J.
Rajaram Mita
Singh B. P.
No associations
LandOfFree
Application of ridge-regression in inversion of low-latitude magnetic anomalies derived from space measurements does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Application of ridge-regression in inversion of low-latitude magnetic anomalies derived from space measurements, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Application of ridge-regression in inversion of low-latitude magnetic anomalies derived from space measurements will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-790263