With coastal erosion and the increased interest in beach monitoring, there is a greater need for evaluation of the shoreline detection methods. Some studies have been conducted to produce state of the art reviews on shoreline definition and detection. It should be noted that with the development of remote sensing, shoreline detection is mainly achieved by image processing. Thus, it is important to evaluate the different image processing approaches used for shoreline detection. This paper presents a state of the art review on image processing methods used for shoreline detection in remote sensing. It starts with a review of different key concepts that can be used for shoreline detection. Then, the applied fundamental image processing methods are shown before a comparative analysis of these methods. A significant outcome of this study will provide practical insights into shoreline detection.
In this paper, we present a theoretical 3D study of a polycrystalline silicon solar cell in frequency modulation under polychromatic illumination and applied magnetic field. The influence of the applied magnetic field on the diode current density, J d , and both electric power-photovoltage and photocurrent-photovoltage characteristics are discussed. The Nyquist diagram permitted us to determine the electrical parameters such as the series resistance R s and parallel equivalent resistance R p of a polycrystalline silicon solar cell. The Bode diagram is then used to calculate the cut-off frequency, capacitance C and inductance L. It has been shown that, under a magnetic field, the solar cell behavior is like that of a low-pass filter.
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