The acquisition of satellite images over a wide area is often carried out across seasons because of satellite orbits and atmospheric conditions (e.g., cloud cover, dust, etc.). This results in spectral mismatch between adjacent scenes as the sun angle and the atmospheric conditions will be different for different acquisitions. In this work, we developed an approach to generate seamless mosaics using Scale-Invariant Features Transformation (SIFT). In this process, we make use of the overlapping areas between two adjacent scenes and then map spectral values of one imagery scene to another based on the filtered points detected by SIFT features to create a seamless mosaic. We make use of the Random Sample Consensus (RANSAC) method successively to filter out obtained SIFT points across adjacent tiles and to remove spectral outliers across each band of an image. Several high resolution satellite images acquired with WorldView-2 and Dubaisat-2 satellites, and medium resolution Sentinel-2 satellite imagery are used for experimentation. The experimental results show that the proposed approach can generate good seamless mosaics. Furthermore, Sentinel-2’s level 2A (L2A) product surface reflectance data is used to adjust the spectral values for color consistency.
The aim of the research was to analyze whether Hamburger strategy was effective to be used in teaching writing recount text at the first grade of MAN 4 Kediri. This research was quantitative research approach, whereas the research design used was posttest-only control-design. This research used two classes which became experimental group (X MIA 2) and control group (X MIA 1). In experimental group was taught by using Hmaburger strategy, whereas control group was taught without Hamburger strategy. The instruments used in the research was written test. The procedure lasted 6 meetings and 1 meeting to do test. The result of t-test showed that: the mean score of experimental group (M = 74.1) was higher than control group (M = 69.12), and independent-samples t-test which values of the sig. 2-tailed was 0.3% or 0.003 and 0.003 < 0,05. Thus, it could be concluded that Hamburger strategy was effective in teaching and learning of English writing recount text. This result suggests that the writing aspects which the students significantly outperformed were content, organization, vocabulary, language use, and mechanics.
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