Beneficiary of high order derivative spectrum in target detection

Dehnavi, Sahar; Maghsoudi, Yasser; ValadanZouj, MohammadJavad; Baniadam, Fariborz

doi:10.1109/igarss.2014.6947519

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…CEM constrains a desired target signature by using a specific gain. The idea of this algorithm arises from MVDR (minimum variance distortion-less response) in array processing, with the desired target signature interpreted as the direction of the arrival from a desired signal [10,[63][64][65]. Coming back to the remote sensing-based target detection problem, the array of sensors can be interpreted as a bank of spectral channels used in a remote sensing instrument and the desired direction of the signal's arrival as the vector direction of the desired target signature.…”

Section: Constrained Energy Minimization (Cem)mentioning

confidence: 99%

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Cloud Detection Based on High Resolution Stereo Pairs of the Geostationary Meteosat Images

et al. 2020

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Due to the considerable impact of clouds on the energy balance in the atmosphere and on the earth surface, they are of great importance for various applications in meteorology or remote sensing. An important aspect of the cloud research studies is the detection of cloudy pixels from the processing of satellite images. In this research, we investigated a stereographic method on a new set of Meteosat images, namely the combination of the high resolution visible (HRV) channel of the Meteosat-8 Indian Ocean Data Coverage (IODC) as a stereo pair with the HRV channel of the Meteosat Second Generation (MSG) Meteosat-10 image at 0° E. In addition, an approach based on the outputs from stereo analysis was proposed to detect cloudy pixels. This approach is introduced with a 2D-scatterplot based on the parallax value and the minimum intersection distance. The mentioned scatterplot was applied to determine/detect cloudy pixels in various image subsets with different amounts of cloud cover. Apart from the general advantage of the applied stereography method, which only depends on geometric relationships, the cloud detection results are also improved because: (1) The stereo pair is the HRV bands of the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) sensor, with the highest spatial resolution available from the Meteosat geostationary platform; and (2) the time difference between the image pairs is nearly 5 s, which improves the matching results and also decreases the effect of cloud movements. In order to prove this improvement, the results of this stereo-based approach were compared with three different reflectance-based target detection techniques, including the adaptive coherent estimator (ACE), constrained energy minimization (CEM), and matched filter (MF). The comparison of the receiver operating characteristics (ROC) detection curves and the area under these curves (AUC) showed better detection results with the proposed method. The AUC value was 0.79, 0.90, 0.90, and 0.93 respectively for ACE, CEM, MF, and the proposed stereo-based detection approach. The results of this research shall enable a more realistic modelling of down-welling solar irradiance in the future.

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Section: Constrained Energy Minimization (Cem)mentioning

confidence: 99%

“…Applying a set of filter gains, the concept can be used to constrain a set of multiple targets [9]. A better and more detailed introduction to this method is available in different references, like [10,[63][64][65].…”

Section: Constrained Energy Minimization (Cem)mentioning

confidence: 99%