Imaging time series for the classification of EMI discharge sources [PDF]
, 2018 In this work, we aim to classify a wider range of Electromagnetic Interference (EMI) discharge sources collected from new power plant sites across multiple assets. This engenders a more complex and challenging classification task.
Boreham, Philip +5 more
core +2 more sources
Benefits of using mobile ad-hoc network protocols in federated satellite systems for polar satellite missions [PDF]
, 2018 © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new ...
Calveras Augé, Anna M. +2 more
core +2 more sources
An Improved Sea Ice Classification Algorithm with Gaofen-3 Dual-Polarization SAR Data Based on Deep Convolutional Neural Networks [PDF]
Remote Sensing, 2022 The distribution of sea ice is one of the major safety hazards for sea navigation. As human activities in polar regions become more frequent, monitoring and forecasting of sea ice are of great significance. In this paper, we use SAR data from the C-band synthetic aperture radar (SAR) Gaofen-3 satellite in the dual-polarization (VV, VH) fine strip II ...
Zhang, Jiande +4 more
openaire +2 more sources
CMIR-NET : A Deep Learning Based Model For Cross-Modal Retrieval In Remote Sensing [PDF]
, 2019 We address the problem of cross-modal information retrieval in the domain of remote sensing. In particular, we are interested in two application scenarios: i) cross-modal retrieval between panchromatic (PAN) and multi-spectral imagery, and ii) multi ...
Banerjee, Biplab +3 more
core +2 more sources
Remote Sensing, 2019 In recent years, China has launched YaoGan-13 and GaoFen-3, high-resolution synthetic aperture radar (SAR) satellites that can acquire global high-resolution images.
Mingjun Deng +6 more
doaj +1 more source
A Framework for SAR-Optical Stereogrammetry over Urban Areas [PDF]
, 2018 Currently, numerous remote sensing satellites provide a huge volume of diverse earth observation data. As these data show different features regarding resolution, accuracy, coverage, and spectral imaging ability, fusion techniques are required to ...
Bagheri, Hossein +3 more
core +2 more sources
Coastal Aquaculture Extraction Using GF-3 Fully Polarimetric SAR Imagery: A Framework Integrating UNet++ with Marker-Controlled Watershed Segmentation [PDF]
, 2023 Coastal aquaculture monitoring is vital for sustainable offshore aquaculture management. However, the dense distribution and various sizes of aquacultures make it challenging to accurately extract the boundaries of aquaculture ponds.
He, Xiufeng +5 more
core +2 more sources
An accurate method to correct atmospheric phase delay for InSAR with the ERA5 global atmospheric model [PDF]
, 2019 Differential SAR Interferometry (DInSAR) has proven its unprecedented ability and merits of monitoring ground deformation on a large scale with centimeter to millimeter accuracy.
Hu, Zhongbo +1 more
core +2 more sources
Sensors, 2019 Sparse signal processing theory has been applied to synthetic aperture radar (SAR) imaging. In compressive sensing (CS), the sparsity is usually considered as a known parameter. However, it is unknown practically.
Mingqian Liu +3 more
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 The azimuth multichannel synthetic aperture radar (SAR) technology is capable of overcoming the minimum antenna area constraint and achieving high-resolution and wideswath (HRWS) imaging.
Mingqian Liu +5 more
doaj +1 more source