Abstract
As a fundamental study of the image database category index, we have been analysing the classification of sea and land levels based on the albed value obtained from NOAA-11 satellite at the area of northern Japan. The target image is NOAA AVHRR CH2 image, which has been studied automatic data analysis of the whole set of data for a period of three years (1990.4 to approximately 1993.3). We tried to relate the sea and land level by albed value with the elevation of sun when the satellite observed. The classification method is unique technique because of matching the CH2 image with sea and land data, whose data is composed of 0 and 1 values. We have shown the change of albedo of the image category corresponding to the seasonal change. And also shown that the classification of sea and land levels (the tangent of time and elevation of sun) are rising year by year. We have proposed the recognition ratio of sea and land as a new key word of NOAA AVHRR CH2 image search index.
| Original language | English |
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| Pages | 2541-2545 |
| Number of pages | 5 |
| Publication status | Published - 1994 Dec 1 |
| Event | Proceedings of the 1994 International Geoscience and Remote Sensing Symposium. Vol 4 (of 4) - Pasadena, CA, USA Duration: 1994 Aug 8 → 1994 Aug 12 |
Other
| Other | Proceedings of the 1994 International Geoscience and Remote Sensing Symposium. Vol 4 (of 4) |
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| City | Pasadena, CA, USA |
| Period | 94/8/8 → 94/8/12 |
ASJC Scopus subject areas
- Computer Science Applications
- Earth and Planetary Sciences(all)