A sidelobe-aware small ship detection network for synthetic aperture radar imagery

Y Zhou, H Liu, F Ma, Z Pan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Ship detection from synthetic aperture radar (SAR) remote sensing images is essential for
monitoring water traffic and marine safety. Numerous methods for ship detection have been …

[HTML][HTML] Towards transparent deep learning for surface water detection from SAR imagery

L Chen, X Cai, J Xing, Z Li, W Zhu, Z Yuan… - International Journal of …, 2023 - Elsevier
Water detection from SAR imagery has significant values, such as the flood monitoring and
environmental protection. Nowadays, significant progress has been achieved in water …

ITF-WPI: Image and text based cross-modal feature fusion model for wolfberry pest recognition

G Dai, J Fan, C Dewi - Computers and Electronics in Agriculture, 2023 - Elsevier
As one of the necessary cash crops in China and many other countries, wolfberry is
parasitized by multiple pests, and its yield is highly susceptible to being affected. On the …

Geospatial transformer is what you need for aircraft detection in SAR Imagery

L Chen, R Luo, J Xing, Z Li, Z Yuan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Although deep learning techniques have achieved noticeable success in aircraft detection,
the scale heterogeneity, position difference, complex background interference, and speckle …

Superpixelwise likelihood ratio test statistic for PolSAR data and its application to built-up area extraction

F Zhang, X Sun, F Ma, Q Yin - ISPRS Journal of Photogrammetry and …, 2024 - Elsevier
The natural terrain (eg, farm and forest) in temperate zones changes dramatically between
seasons due to distinct temperatures and precipitation variations from summer to winter …

[HTML][HTML] CARNet: An effective method for SAR image interference suppression

S Wei, H Zhang, X Zeng, Z Zhou, J Shi… - International Journal of …, 2022 - Elsevier
Synthetic aperture radar (SAR) routinely confronts the interference of radiofrequency
devices in normal missions, causing ineffective imaging and seriously affecting Earth …

Vessel detection from nighttime remote sensing imagery based on deep learning

J Shao, Q Yang, C Luo, R Li, Y Zhou… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
The continuous and rapid detection of sea vessels on a large scale is of great importance in
marine traffic management, resource protection, and rights maintenance. Nighttime remote …

[HTML][HTML] YOLOv8-BYTE: Ship tracking algorithm using short-time sequence SAR images for disaster response leveraging GeoAI

M Yasir, L Shanwei, X Mingming, W Jianhua… - International Journal of …, 2024 - Elsevier
Ship tracking technology is crucial for emergency rescue in the event of a disaster. Quickly
identifying the position and status of vessels is vital for rescue teams to be able to deploy …

A hierarchical feature fusion and attention network for automatic ship detection from SAR images

Q Mao, Y Li, Y Zhu - IEEE Journal of Selected Topics in Applied …, 2024 - ieeexplore.ieee.org
Automatic ship target detection technique is a typical and meaningful application for
synthetic aperture radar (SAR) image interpretation. Nevertheless, the detection of ship …

A lightweight network based on one-level feature for ship detection in SAR images

W Yu, Z Wang, J Li, Y Luo, Z Yu - Remote Sensing, 2022 - mdpi.com
Recently, deep learning has greatly promoted the development of detection methods for
ship targets in synthetic aperture radar (SAR) images. However, existing detection networks …