Shallow water bathymetry mapping using Support Vector Machine (SVM) technique and multispectral imagery

Ankita Misra, Zoran Vojinovic, Balaji Ramakrishnan (Corresponding Author), Arjen Luijendijk, Roshanka Ranasinghe

Research output: Contribution to journalArticleAcademicpeer-review

76 Citations (Scopus)

Abstract

Cancer detection and treatment is now a huge part of the health care system, and many cancer charities and organizations advertise heavily in various media. However, from pink ribbons to yellow wristbands, marketing spending and imagery are vastly different between diseases that primarily affect men and those that primarily affect women. Yet, the ways in which consumers react to specific marketing images when used in cancer-related advertising, and the importance of the congruence between the disease and the ad image have been under-researched. This paper explores these research questions in two studies and finds significant differences in ad evaluations by image and gender of the disease target. [PUBLICATION ABSTRACT]
Original languageEnglish
Pages (from-to)4431-4450
Number of pages20
JournalInternational journal of remote sensing
Volume39
Issue number13
Early online date7 Jan 2018
DOIs
Publication statusPublished - 2018

Keywords

  • UT-Hybrid-D
  • n/a OA procedure

Fingerprint

Dive into the research topics of 'Shallow water bathymetry mapping using Support Vector Machine (SVM) technique and multispectral imagery'. Together they form a unique fingerprint.

Cite this