Synthetic aperture radar image statistical modeling: Part one-single-pixel statistical models

DX Yue, F Xu, AC Frery, YQ ** - IEEE Geoscience and Remote …, 2020 - ieeexplore.ieee.org
With the rapid development of spaceborne synthetic aperture radar (SAR) technology and
the acquisition of a large volume of SAR images, SAR image interpretation has become an …

Short-term solar power forecasting based on weighted Gaussian process regression

H Sheng, J **ao, Y Cheng, Q Ni… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Photovoltaic (PV) power is volatile in nature and raises the level of uncertainty in power
systems. PV power forecasting is an important measure to solve this problem. It helps to …

Ship classification in SAR images using a new hybrid CNN–MLP classifier

F Sharifzadeh, G Akbarizadeh… - Journal of the Indian …, 2019 - Springer
Ship detection on the SAR images for marine monitoring has a wide usage. SAR technology
helps us to have a better monitoring over intended sections, without considering …

Robust CFAR ship detector based on bilateral-trimmed-statistics of complex ocean scenes in SAR imagery: A closed-form solution

J Ai, Y Mao, Q Luo, M **ng, K Jiang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
A robust constant false alarm rate (RCFAR) detector based on bilateral-trimmed-statistics
(BTS-RCFAR) with a closed-form solution is proposed. BTS-RCFAR aims at improving the …

Speckle-free SAR image ship detection

SW Chen, XC Cui, XS Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Ship detection is one of important applications for synthetic aperture radar (SAR). Speckle
effects usually make SAR image understanding difficult and speckle reduction becomes a …

Ship detection in Gaofen-3 SAR images based on sea clutter distribution analysis and deep convolutional neural network

Q An, Z Pan, H You - Sensors, 2018 - mdpi.com
Target detection is one of the important applications in the field of remote sensing. The
Gaofen-3 (GF-3) Synthetic Aperture Radar (SAR) satellite launched by China is a powerful …

Inshore ship detection based on multi-modality saliency for synthetic aperture radar images

Z Chen, Z Ding, X Zhang, X Wang, Y Zhou - Remote Sensing, 2023 - mdpi.com
Synthetic aperture radar (SAR) ship detection is of significant importance in military and
commercial applications. However, a high similarity in intensity and spatial distribution of …

Ship detection in high-resolution SAR images by clustering spatially enhanced pixel descriptor

H Lang, Y **, X Zhang - IEEE Transactions on Geoscience and …, 2019 - ieeexplore.ieee.org
This paper proposes a new scheme for detecting ship targets in high-resolution (HR) single-
channel synthetic aperture radar (SAR) images. By using the proposed spatially enhanced …

Robust CFAR detector based on truncated statistics for polarimetric synthetic aperture radar

T Liu, Z Yang, A Marino, G Gao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Constant false alarm rate (CFAR) algorithms using a local training window are widely used
for ship detection with synthetic aperture radar (SAR) imagery. However, when the density of …

Ship detection using deep convolutional neural networks for PolSAR images

W Fan, F Zhou, X Bai, M Tao, T Tian - Remote Sensing, 2019 - mdpi.com
Ship detection plays an important role in many remote sensing applications. However, the
performance of the PolSAR ship detection may be degraded by the complicated scattering …