Using Optimum Index Factor and Determinant Covariance Methods and Compare to PCA on Satellite Images to Determine The Earth’s Landmarks ( Part of Tar- An Najaf and Its Neighbours)

Abstract

The research focuses on mixing of Landsat8 ETM+ images for sector of Tar An- Najaf Phenomenon for the sake of gaining the optimum description showing the ground guidelines of the studied area. The optimum Index Factor (OIF) method has ensured that RGB567 represents the preferred mixed bands, where vegetated areas, water and rocks and deposits more obviously distributed. The determinant covariance matrix method stated that RGB457 considered the optimum for spectral resolution. For comparison with Principal Component Analysis, the latter involves PC1,2,3 and shows clear variations that serve the interpreter as a detailed study. Through the study, the best method is the second one.

Assessing LAPAN-A3 Satellite with Line Imager Space Application (LISA) Sensor for Oil Spill Detection

“…This emulsion occurs when the dispersed phase consists of water and oil as a dispersion medium [36]. These emulsions sometimes form after oil is spilled onto the water's surface [37]. When this emulsion is formed, the physical properties of the oil change drastically.…”

“…It covers visible light (red, green, blue) and Near-Infrared (NIR). The OIF algorithm uses the total value of standard deviations divided by the correlation coefficient of the bands selected as follows the formula[36],[37]: deviation of a band i ABS = Absolute value of 3-band correlation coefficient…”