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Flood is one of serious natural disasters in the word. Synthetic aperture radar (SAR) has become a popular tool to detect the flood disaster for its distinct benefits such as retrieval of surface information, penetrability, and availability in all weathers. This paper aims to analyze microwave scattering characteristics of soil from low water content to semi-flooded status based on ground-scatterometer...
In this paper, a method for road detection based on Duda and path operators has been presented. The roads are represented as slender dark regions with constant width and reflectance in the high-resolution SAR images. The path operators (path openings and closings) were performed as morphological filters in retaining linear structures. However, the filters were not sensitive to the width of linear...
Persistent scatterers synthetic aperture radar interferometry (PSI) is a powerful remote sensing technique to detect the subsidence and landslides with an accuracy of millimeters. Distributed scatterers (DS) can be extracted to increase the measurement points with preserved Persistent scatterers (PSs), especially in non-urban areas covered with vegetation. In the experiment, we selected a set of SAR...
The detection of ocean oil spill based on synthetic aperture radar (SAR) image has been a hot topic attracting extensive attention. In this paper, a hybrid scheme, in which we extract feature parameters and then achieve classification as follows, is presented. Two-dimensional (2-D) Otsu algorithm is applied in image segmentation process, and neural network is applied in classification course. Before...
For anti-fuse or flash-memory-based field-programmable gate arrays (FPGAs), single-event transient (SET)-induced faults are significantly more pronounced than single-event upsets (SEUs). While most existing work studies SEU, this paper proposes a retiming algorithm for mitigating variational SETs (i.e., SETs with different durations and strengths). Considering the reshaping effect of an SET pulse...
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