Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Canbin HU"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 132, Iss , Pp 104028- (2024)
Deep learning is widely applied in synthetic aperture radar (SAR) target recognition. However, the high cost of collecting real SAR target data leads to insufficient data volume and diversity of SAR target datasets, making it challenging to support d
Externí odkaz:
https://doaj.org/article/8ff8c41abff04447b87dd728d6d312aa
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 8795-8808 (2023)
Polarimetric decomposition of oriented buildings is challenging due to their variable orientation angles and structures. Both vegetated and oriented built-up areas generate the HV component namely cross-polarized scattering, leading to an overestimat
Externí odkaz:
https://doaj.org/article/82c44310b809436a91280d1beb8e4a20
Publikováno v:
Leida xuebao, Vol 11, Iss 6, Pp 1081-1097 (2022)
Synthetic Aperture Radar (SAR) image registration has recently been one of the most challenging tasks because of speckle noise, geometric distortion and nonlinear radiation differences between SAR images. The repeatability of keypoints and the effect
Externí odkaz:
https://doaj.org/article/1861adf7dae442068680aa1266efea38
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 804-819 (2022)
In this article, we propose an adaptive superpixel generation algorithm for synthetic aperture radar (SAR) imagery, which is implemented based on fast density-based spatial clustering of applications with noise (DBSCAN) clustering and superpixel merg
Externí odkaz:
https://doaj.org/article/39b4c347944b469bbb6141993db087b4
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 901-918 (2022)
Compact polarimetry (CP) has attracted much attention in recent years due to its hybrid dual-polarization imaging mode. CP synthetic aperture radar has a larger swath and can provide more polarimetric information compared with the traditional dual-po
Externí odkaz:
https://doaj.org/article/666903bd664d43f994ba2590895edab4
Publikováno v:
Remote Sensing, Vol 15, Iss 14, p 3528 (2023)
The registration of optical and SAR images has always been a challenging task due to the different imaging mechanisms of the corresponding sensors. To mitigate this difference, this paper proposes a registration algorithm based on a pseudo-SAR image
Externí odkaz:
https://doaj.org/article/0f288897c4ed4b76a02bd745cd788c82
Publikováno v:
Remote Sensing, Vol 12, Iss 11, p 1813 (2020)
Ship recognition from chaff cloud jamming is challenging since they have similar dimensions and radar cross sections. In this paper, a polarimetric recognition technique with sophisticated polarimetric decomposition is proposed. To this end, a seven-
Externí odkaz:
https://doaj.org/article/3e79e8830e37417bbd77b859474ced5b
Publikováno v:
Remote Sensing, Vol 11, Iss 5, p 581 (2019)
Scattering characterization of obliquely oriented buildings (OOBs) from polarimetric synthetic aperture radar (PolSAR) data is challenging since the general double-bounce scattering does not support their dominant scattering mechanism. In this paper,
Externí odkaz:
https://doaj.org/article/86cf53b3dc854d9f84dd133f12bef674
Publikováno v:
Remote Sensing, Vol 5, Iss 12, Pp 6899-6920 (2013)
This paper presents a new approach for the discrimination of ship responses using polarimetric SAR (PolSAR) data. The PolSAR multidimensional information is analyzed using a linear Time-Frequency (TF) decomposition approach, which permits to describe
Externí odkaz:
https://doaj.org/article/70c6be8c52be448b993115c1425bd4b5
Publikováno v:
Remote Sensing, Vol 9, Iss 8, p 856 (2017)
The overestimation of volume scattering (OVS) is an intrinsic drawback in model-based polarimetric synthetic aperture radar (PolSAR) target decomposition. It severely impacts the accuracy measurement of scattering power and leads to scattering mechan
Externí odkaz:
https://doaj.org/article/54e57133d5f5433094b543ef20d480db