METHOD OF LAYING IMAGES ON WOVEN FABRICS, PARTICULARLY SYNTHETIC OR SEMI-SYNTHETIC FABRICSBRYK MAGDALENABRYK WITOLD
,n, of the artery is taken. Each image undergoes through each of the previous steps. Since image 𝐼1I1 does not contain information on the previous cross-sectional image, a special procedure is followed. The procedure is semi-automatic since the intervention of a specialist is required to ...
SAR target recognition; semi-supervised; DCGANs; joint training1. Introduction Synthetic Aperture Radar (SAR) can acquire the images of non-cooperative moving objects, such as aircrafts, ships, and celestial objects over a long distance under all weather and all day, which is now widely used in...
However, to the best of our belief, the main conclusions drawn in this study would not change significantly. Some significant findings of the review are listed here: 4.1. GAN Variants The conventional GAN model suffers from mode collapse, where the optimal discriminator does not provide enough ...
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Visually sighted shortly thereafter, it became apparent that aid could only be rendered by use of the 36-foot Motor Life Boat CG-36500. Pendleton's stern section drifted close to shore. At 1755, BM1 Webber and three crewmen left the pier. As CG-36500 crossed Chatham's bar, massive ...
However, the images generated by SAS are susceptible to speckle noise, which makes digital processing difficult, since the noises are confused with the targets of interest. The goal of this study was to develop a semi-automatic routine for SAS image processing to verify the structural integrity ...
synthetic aperture radarship target discriminationnon-ship false alarmssemisupervisedheterogeneous ensembleShip detection using synthetic aperture radar (SAR) plays an important role in marine applications. The existing methods are capable of quickly obtaining many candidate targets, but numerous non-ship obje...
Detection of paddy field requires constant monitoring of a region throughout the year. Hence, we use dual-polarized Sentinel-1 Synthetic Aperture Radar (SAR) data with 20 m resolutions for our study. In this paper, we propose a semi-supervised algorithm that detects paddy fields in various ...
Synthetic aperture sonarSonarDeep learningConvolutional neural netsIn this article, we propose a framework for saliency-based multitarget detection and segmentation of circular-scan synthetic aperture sonar (CSAS) imagery. Our framework relies on a multibranch convolutional encoder鈥揹ecoder network (MB-...