- Tytuł:
- Interpolation of Data Gaps of SLC-off Landsat ETM+ Images Using Algorithm Based on the Differential Operators
- Autorzy:
- Singh, R.
- Powiązania:
- https://bibliotekanauki.pl/articles/972907.pdf
- Data publikacji:
- 2014
- Wydawca:
- Społeczna Akademia Nauk w Łodzi
- Tematy:
-
Scan line corrector
Landsat ETM
data gaps
Linear histogram matching
Partial derivative
Kriging - Opis:
- The scan-line corrector (SLC) of the Landsat 7 Enhanced Thematic Mapper Plus (ETM+) sensor failed in May 2003, and this abnormal functioning of SLC resulted in about 22% of the pixels per scene without being scanned. By filling the un-scanned gap by a good technique will help in more use of ETM+ data for many scientific applications. While there have been a number of approaches developed to fill in the data gaps in ETM+ imagery, each method has shortcomings, especially they require SLC-on (images acquired before SLC-off anomaly) imagery for the same location to fill the gaps in SLC-off (images acquired after SLC anomaly) image. To overcome such shortcomings this study proposes an alternative interpolation method based on the partial derivative. This case study shows that this technique is very much useful to interpolate the missing pixel values in the SLC-off ETM+ data.
- Źródło:
-
Journal of Applied Computer Science Methods; 2014, 6 No. 2; 93-100
1689-9636 - Pojawia się w:
- Journal of Applied Computer Science Methods
- Dostawca treści:
- Biblioteka Nauki
Artykuł