e , CHRIS mode 2) and one airborne (i e , MIVIS) hyperspectral da

e., CHRIS mode 2) and one airborne (i.e., MIVIS) hyperspectral data collection were carried out. This integrated multi-hyperspectral campaign was conducted during the summer of 2011 in three coastal areas in southern Italy, jointly with in situ water references. Therefore, this methodology was applied to evaluate the accuracy values, with which the CHRIS-acquired in mode 1 and mode 2, the Landsat5-TM, the MIVIS and the PRISMA data characterize the coastal waters of the area close to the Lagoon of Lesina, the Gulf of Manfredonia and the Gulf of Taranto, as a function of FWHM.Previous research was carried out by Hochberg and Atkinson [41]; that paper presented a method to evaluate the capability of the multispectral and hyperspectral remote sensors in identifying three coastal substrates cover types (i.

e., coral, algae, and sand). The authors used the in situ spectral reflectance in order to simulate sensor-specific spectral reflectance of five multispectral remote sensors, three real (i.e., Ikonos, Landsat-ETM+��Enhanced Thematic Mapper Plus and Spot High-Resolution Visible��HVR) and two hypothetic (i.e., Proto and Coral Reef Ecosystem Spectro-Photometric Observatory��CRESPO), and two existing hyperspectral (i.e., AAHIS and AVIRIS) remote sensors. These evaluations employed spectral mixing analysis to discriminate pure and mixed spectra [41].Meanwhile, van der Meer [42] evaluated the effectiveness of the spectral similarity measures on synthetic and real (i.e., AVIRIS) hyperspectral data. Van der Meer [42] used four spectral measures (i.e.

, Euclidean Distance Measured, Spectral Angle Measured, Spectral Correlation Measure and Spectral Information Divergence) to assess the similarity of spectral measures among three hydrothermal alteration minerals. Then, the author utilized two statistical Entinostat parameters to evaluate the performance of these four spectral measures.2.?Study Area and DataAn integrated multi-hyperspectral campaign was conducted in the summer of 2011 in three coastal areas in southern Italy. In the study of the marine and coastal waters, integrated campaigns (i.e., simultaneous acquisition of the satellite, airborne and in situ data) are acutely needed to calibrate and validate remote data, improve the quality of remote data by means of a more accurate atmospheric correction [43,44], calibrate the bio-optical models and validate the results [23,39,40].

2.1. Study AreaThe locations of these three surveyed coastal areas are the area close to
Switched-mode power supplies (SMPSs) are becoming increasingly common in highly reliable embedded systems, such as aerospace, nuclear power, high-speed rail, etc. [1]. The failure of SMPS is directly caused by faults occurring in the system. Moreover, according to the statistics, approximately 34% of electronic system failures result from SMPS failures [2].

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