Title :
Extraction of sea surface temperature in local region from NOAA AVHRR data
Author :
Kageyama, Yoichi ; Nishida, MaKoto ; Takeda, Tomoki
Author_Institution :
Comput. Sci. & Eng., Akita Univ., Japan
Abstract :
Proposes an extraction method for sea surface temperature (SST) information in the local region from NOAA AVHRR data. The method applied to the remote-sensed SST data consists of: (i) fuzzy regression analysis for NOAA AVHRR data and Landsat TM data; (ii) fuzzy level-slice processing; and (iii) feature extraction using information of neighbor pixels. Experimental results have verified the usefulness and accuracy of the proposed approach.
Keywords :
fuzzy systems; oceanographic techniques; radiometry; remote sensing; statistical analysis; Landsat TM data; NOAA AVHRR data; feature extraction; fuzzy level-slice processing; fuzzy regression analysis; information extraction method; remote-sensed SST data; sea surface temperature; Atmospheric modeling; Data engineering; Data mining; Equations; Ocean temperature; Remote monitoring; Remote sensing; Satellites; Sea surface; Spatial resolution;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
DOI :
10.1109/IGARSS.2002.1026847
