Zobrazeno 1 - 10
of 128
pro vyhledávání: '"Deliang Xiang"'
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:
Information, Vol 15, Iss 3, p 159 (2024)
With the development of deep learning in the field of computer vision, convolutional neural network models and attention mechanisms have been widely applied in SAR image target recognition. The improvement of convolutional neural network attention in
Externí odkaz:
https://doaj.org/article/09101204be634b568039935ff625aaa9
Publikováno v:
Leida xuebao, Vol 12, Iss 1, Pp 120-139 (2023)
Synthetic Aperture Radar (SAR) image ship target detection has attracted considerable attention. As a state-of-the-art method, the Constant False Alarm Rate (CFAR) detection algorithm is often used in SAR image ship target detection. However, the det
Externí odkaz:
https://doaj.org/article/588cb98417f7424db1c74d19fd72157e
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
Autor:
Han Zhang, Lin Lei, Weiping Ni, Xiaoliang Yang, Tao Tang, Kenan Cheng, Deliang Xiang, Gangyao Kuang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 1269-1294 (2023)
The coregistration of optical and synthetic aperture radar (SAR) imageries is the bottleneck in exploring the complementary information from the two multimodal datasets. The difficulties lie in not only the complex radiometric relationship between th
Externí odkaz:
https://doaj.org/article/53d6396f23e2403fb7ef799d45cbacc7
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:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 1327-1339 (2022)
Synthetic aperture radar automatic target recognition (SAR ATR) uses computer processing capabilities to infer the classes of the targets without human intervention. For SAR ATR, deep learning gradually emerges as a powerful tool and achieves promisi
Externí odkaz:
https://doaj.org/article/51c3a3cda6664950aa5f444e6f43015d
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 4507-4520 (2022)
Synthetic aperture radar (SAR) automatic target recognition (ATR) technology is one of the key technologies to achieve intelligent interpretation for SAR images. With the rapid development of deep learning, deep neural networks have been successively
Externí odkaz:
https://doaj.org/article/bd07cc3e4df84d4f90315e5f20bd5fed