Line noise extraction of thermal infrared camera image in observing sea skin temperature

Author

Tamba, Sumio ; Yokoyama, Ryuzo

Author_Institution

Fac. of Eng., Iwate Univ., Morioka, Japan

Volume

1

fYear

1997

fDate

3-8 Aug 1997

Firstpage

305

Abstract

A thermal infrared camera provides relevant data to observe fine structure of sea skin temperature distribution. The image is exposed to various noises. The authors have developed two algorithms to correct a strip-type noise caused by the scanning mechanism and an inverse shading-type noise caused by spatial inhomogeneity of detecting sensitivity. The first algorithm is based on the two dimensional Fourier transform, and the second one was based on a spatial weighting function. By applying to scanning mode images of MUBEX the authors could confirm the effectiveness of the algorithms

Keywords

infrared detectors; infrared imaging; oceanographic equipment; oceanographic techniques; radiometers; remote sensing; temperature measurement; Hg-Cd-Te detector; IR detector; IR imaging; MUBEX; SST; air sea interaction; algorithm; fine structure; inverse shading-type noise; line noise extraction; measurement technique; ocean; remote sensing; scanning mechanism; scanning mode image; sea skin temperature; sea skin temperature distribution; sea surface temperature; spatial inhomogeneity; spatial weighting function; strip-type noise correction; thermal infrared camera image; thermal structure; two dimensional Fourier transform; Cameras; Detectors; Infrared imaging; Object detection; Ocean temperature; Sea surface; Skin; Strips; Temperature distribution; Temperature sensors;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International

Print_ISBN

0-7803-3836-7

Type

conf

DOI

10.1109/IGARSS.1997.615870

Filename

615870