A Framework for Distributed LEO SAR Air Moving Target 3D Imaging via Spectral Estimation
Remote Sensing, 2022 This paper aims to perform imaging and detect moving targets in a 3D scene for space-borne air moving target indication (AMTI). Specifically, we propose a feasible framework for distributed LEO space-borne SAR air moving target 3D imaging via spectral ...
Yaquan Han +4 more
doaj +1 more source
SAR 3D sparse imaging based on CLA [PDF]
The Journal of Engineering, 2019 A novel method for synthetic aperture radar (SAR) three‐dimensional (3D) sparse imaging based on a coprime linear array (CLA) is proposed. To reduce the geometric resolution loss caused by under‐sampled sparse SAR, a jointed sparse imaging approach is used.
Bokun Tian +4 more
openaire +2 more sources
High-Resolution and Wide-Swath 3D Imaging for Urban Areas Based on Distributed Spaceborne SAR
Remote Sensing, 2023 Tomographic synthetic aperture radar (TomoSAR) obtains elevation resolution by adding multiple baselines successively in the direction perpendicular to the line of sight, thereby realizing three-dimensional (3D) reconstruction of complex scenes and ...
Yaqian Yang +5 more
doaj +1 more source
Synthetic Aperture Radar Three-dimensional Imaging——From TomoSAR and Array InSAR to Microwave Vision
Leida xuebao, 2019 Synthetic Aperture Radar three-Dimensional (SAR 3D) imaging technology can eliminate severe overlap in 2D images, and improve target recognition and 3D modeling capabilities, which have become an important trend in SAR development.
DING Chibiao +5 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
Polarimetric SAR image classification using 3D generative adversarial network [PDF]
MATEC Web of Conferences, 2021 In this paper, a new architecture of three-dimensional deep convolutional generative adversarial network(3D-DCGAN) is specially defined to solve the unstable training problem of GAN and make full use of the information involved in polarimetric data.
Liu Lu, Feng Guobao
openaire +2 more sources
Deep learning in remote sensing: a review [PDF]
, 2017 Standing at the paradigm shift towards data-intensive science, machine learning techniques are becoming increasingly important. In particular, as a major breakthrough in the field, deep learning has proven as an extremely powerful tool in many fields ...
Fraundorfer, Friedrich +6 more
core +4 more sources
RESEARCH ON COORDINATE TRANSFORMATION METHOD OF GB-SAR IMAGE SUPPORTED BY 3D LASER SCANNING TECHNOLOGY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 In the image plane of GB-SAR, identification of deformation distribution is usually carried out by artificial interpretation. This method requires analysts to have adequate experience of radar imaging and target recognition, otherwise it can easily cause
P. Wang, C. Xing
doaj +1 more source
Curved Synthetic Aperture Radar for Near-Field Terahertz Imaging
IEEE Photonics Journal, 2023 High resolution imaging techniques will play an essential role in the future smart imaging applications to provide potential solutions for accurate detection, monitoring and classification of the target.
Mavis Gezimati, Ghanshyam Singh
doaj +1 more source
Blur resolved OCT: full-range interferometric synthetic aperture microscopy through dispersion encoding [PDF]
, 2001 We present a computational method for full-range interferometric synthetic aperture microscopy (ISAM) under dispersion encoding. With this, one can effectively double the depth range of optical coherence tomography (OCT), whilst dramatically enhancing ...
A.M. Wing +7 more
core +4 more sources