Name
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. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/IGARSS.2002.1026847 | IGARSS |
Keywords | Field | DocType |
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,data mining,spatial resolution,data engineering,data consistency,ocean temperature,remote monitoring,satellites,atmospheric modeling | Meteorology,Sea surface temperature,Computer science,Fuzzy logic,Remote sensing,Feature extraction,Radiometry,Fuzzy regression,Pixel,Fuzzy control system,Statistical analysis | Conference |
Volume | Citations | PageRank |
5 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kageyama, Y. | 1 | 0 | 0.34 |
| Masahiro Nishida | 2 | 1 | 2.07 |
| Takeda, T. | 3 | 0 | 0.34 |