Effect of pulse length changes on Weibull clutter of sea ice

Sekine, Matsuo; Musha, Toshimitsu; Ogawa, Hirohisa; Murakami, Chikara

doi:10.1049/ip-f-2.1990.0003

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Sea and Sea-ice Clutter1

Pdf Analysis1

Observations Of Weibull-distributed Clutter1

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2001

2024

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Cited by 4 publications

(3 citation statements)

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“…It was discovered that the shape parameters of the Weibull distribution were η = 0.928 at a grazing Table 2. Sea-ice clutter was measured by us using an X-band radar which is located at the city of Mombetsu in northern Japan (12) . The pulsewidth of the radar was 0.08 and 0.3µs.…”

Section: Sea and Sea-ice Cluttermentioning

confidence: 99%

Advances in Radar Signal Processing Techniques

Sekine

Sayama

2004

IEEJ Trans. FM

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Section: Sea and Sea-ice Cluttermentioning

confidence: 99%

Advances in Radar Signal Processing Techniques

Sekine

Sayama

2004

IEEJ Trans. FM

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“…The background clutter from high resolution or low grazing angle radar emission can be fit by the Weibull distribution by tuning its shape parameter [45]. This distribution can be used as an empirical model for the sea ice clutter [46], [47]. It has also been used to model the ground clutter [48], [49], including that of cultivated land [50].…”

Section: Pdf Analysismentioning

confidence: 99%

Enhancing Change Detection in Ultra-Wideband VHF SAR Imagery: An Entropy-Based Approach With Median Ground Scene Masking

Vinholi,

Silva,

Alves

et al. 2024

IEEE Trans. Geosci. Remote Sensing

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We propose an algorithm based on Information Theory to detect changes in Ultra-Wideband (UWB) Very-High Frequency (VHF) Synthetic Aperture Radar (SAR) images with high performance and low complexity. Our algorithm models the clutter-plus-noise using six different distributions and computes a scalar statistic for each pixel based on a multi-temporal stack of images. With this statistic, it is then possible to apply hypothesis testing and classification methods to infer the occurrence of a change. In this context, we derive expressions necessary for the entropy-based statistics, including the entropy variance for the Weibull and Rice distributions. We also evaluate the computational time complexity of the algorithm for each distribution studied. Furthermore, a masking strategy is used to reduce false alarms significantly. We show that the mask mapping assumptions are mild in scenarios with stacks of images, allowing its use in many scenarios. Our algorithm achieves a false alarm rate (FAR) of 0.08 and a probability of detection (PD) of 100%, outperforming existing methods on the CARABAS II data set.

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“…• to 0.53 • (13) . In radar signal processing in the presence of sea-ice, an important problem is the detection of targets, such as ships, embedded in sea-ice clutter.…”

Section: Observations Of Weibull-distributed Cluttermentioning

confidence: 99%