Sediments on exposed intertidal flats are very dynamic and perform vital ecosystem functions. This paper proposes a new classification scheme for mud sand using fully polarimetric synthetic aperture radar (SAR) data. Freeman-Durden (FD) Cloude-Pottier (CP) decomposition components as well double bounce eigenvalue relative difference (DERD) introduced into the feature sets instead of original intensity channels. Classification is carried out random forest (RF) theory, results evaluated...

The detection of ships in optical remote sensing images with clouds, waves, and other complex interferences is a challenging task broad applications. Two main obstacles for ship target are how to extract candidates background, confirm targets the event that similar false alarms. In this paper, we propose an algorithm based on extended wavelet transform phase saliency map (PSMEWT) solve these issues. First, multi-spectral data fusion was utilized separate sea land areas, morphological method...

To address the limitations of traditional aquaculture cages, such as poor performance in offshore environments, challenges energy supply, and inability to integrate modern farming facilities, a new semi-submersible platform has been developed put into operation. The hydrodynamic is analyzed using fully coupled numerical model. model incorporates main structure platform, net system, mooring based on linear potential flow theory Morison equation. natural period found be far away from common...

Compared to traditional phased-array radar, multiple-input multiple-output (MIMO) radar can transmit multiple probing signals that are correlated or uncorrelated with each other. An interesting current research topic in MIMO is the frequency diversity (f-MIMO) radar. The between two adjacent transmitted of f-MIMO not identical but stepped uniformly at same time. In this paper, a array processing model developed. It shown form range-dimension beam, so it has ability distinguish targets...

In target detection of optical remote sensing images, two main obstacles for aircraft are how to extract the candidates in complex gray-scale-multi background and confirm targets case shapes deformed, irregular or asymmetric, such as that caused by natural conditions (low signal-to-noise ratio, illumination condition swaying photographing) occlusion surrounding objects (boarding bridge, equipment). To solve these issues, an improved active contours algorithm, namely region-scalable fitting...

This paper proposes a texture-enhanced network (TENet) for intertidal sediment and habitat classification using multiband multipolarization synthetic aperture radar (SAR) images. The architecture introduces the texture enhancement module (TEM) into UNet framework to explicitly learn global information from SAR study sites are chosen northern part of zones in German Wadden Sea. Results show that presented TENet model is able detail surface types, including land, seagrass, bivalves, bright...

Convenient and accurate blood pressure (BP) measurement is of great importance in both clinical daily life. Although deep learning (DL) can achieve cuff-less BP based on Photoplethysmography (PPG), the performance DL affected by few-shot data. Data augmentation becomes an effective way to enhance size training In this paper, we use cropping, flipping, DTW barycentric averaging (DBA), generative adversarial network (GAN) variational auto-encoder (VAE) for data PPG. Furthermore, a PE–CNN–GRU...

This paper presents a deep framework EddyDet to automatically detect oceanic eddies in Synthetic Aperture Radar (SAR) images. The has been developed using the Mask Region with Convolutional Neural Networks (Mask RCNN) framework, incorporating two new branches: Edge Head and Intersection over Union (IoU) Head. can learn internal texture information implicitly, IoU improves quality of predicted masks. A SAR dataset for Oceanic Eddy Detection (SOED) is specifically constructed evaluate...

We propose and experimentally demonstrate a tunable frequency-doubling optoelectronic oscillator (FD-OEO) based on single-bandpass dispersion-induced microwave photonic filter (MPF) consisting of Mach–Zehnder modulator (MZM), linearly chirped fiber Bragg grating polarization-multiplexed dual-loop. Thanks to the polarization dependence MZM, special double sideband modulation is implemented where optical carrier (OC) subcarriers are orthogonally polarized. By simply tuning PC in OEO loop,...

We propose new indicators for bivalve (oyster and mussel) beds on exposed intertidal flats, derived from dual-copolarization (HH + VV) TerraSAR-X, Radarsat-2, ALOS-2 images of the German North Sea coast. Our analyses are based upon Kennaugh element framework, we show that different targets flats exhibit radar backscattering characteristics, which manifest in magnitudes elements. Namely, inter-channel correlation’s real (K3) imaginary (K7) part can be used to distinguish surrounding sandy...

We developed an extension of a previously proposed classification scheme that is based upon Freeman–Durden and Cloude–Pottier decompositions polarimetric Synthetic Aperture Radar (SAR) data, along with Double-Bounce Eigenvalue Relative Difference (DERD) parameter, Random Forest (RF) classifier. The was done, firstly, by using dual-copolarization SAR data acquired at shorter wavelengths (C- X-band, in addition to the used L-band) and, secondly, adding indicators derived from (polarimetric)...

In this paper, we propose a novel method developed for detecting incomplete ship targets under cloud interference and low-contrast in thin fog based on superpixel segmentation, outline its application to optical remote sensing images. The detection of often requires the target be complete, overall features are used recognition. When is obscured by clouds, or contrast between sea-clutter background low, there may targets, which reduce effectiveness Here, new combining constant false alarm...

A block compressed sensing with projected Landweber (BCS-PL) framework that incorporates the universal measurement and projected-Landweber iterative reconstruction is summarized. Based on BCS-PL framework, an improved algorithm for aerial imagery: adaptive-thresholding (BCS-ATPL), which leverages a piecewise-linear thresholding model wavelet-based image denoising, presented. Through analyzing functional relation between factors sampling subrates, proposed can effectively remove...

Aiming repairing underwater concrete structural defects in structures, which involves multiple tools during the procedure, this paper developed a robotic tool changer system for robots. Firstly, is designed, includes three modules: auxiliary guiding module, limiting mechanism module and lighting module. In order to ensure ROV can carry working desired position with sufficient stability margin, maximum traveling speed of horizontal vertical directions obtained simulation environment. Then...

In this study, we used Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) aerosol products acquired from 2006 to 2016 identify global long-range transport pathways, including the trans-Atlantic, trans-Pacific, and trans-Arabian Sea pathways. Deep analyses were subsequently conducted focusing on two significant paths within range of trans-Pacific pathway, which generated a three-stage conceptual model mainly identifying aerosols Taklimakan Desert North China Plain. The results show...

Based on the appearance of infrared dual-band device and technical parameters seeker, a new-type Cassegrain optical system is designed. The main advantages are large field-of-view, common path compact structure. In system, working wavelengths 3.7μm~4.8μm 8μm~12μm, field-of-view 4° aperture 240mm. paraboloidal primary mirror hyperboloidal secondary all replaced by spherical surfaces. So problems high machining accuracy alignment become much easier. order to balance aberrations, two...

Differential Interferometry Synthetic Aperture Radar (D-InSAR) is a hot-spot technology for detecting large-scale ground deformation, among which, two-pass D-InSAR regarded as classical algorithm. Two-pass an algorithm with high stability and simple process flows, whose precision can always be influenced by the accuracy of DEM, spatial decoherence, factors like that. Therefore, this paper introduces improved to solve these problems: 1) apriori filters in azimuth direction used recover...