|
|
|
|
|
Xiaoqin Lian, Xue Huang, Chao Gao, Guochun Ma, Yelan Wu, Yonggang Gong, Wenyang Guan and Jin Li
In recent years, the advancement of deep learning technology has led to excellent performance in synthetic aperture radar (SAR) automatic target recognition (ATR) technology. However, due to the interference of speckle noise, the task of classifying SAR ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tsung-Hsuan Hsieh, Bo Li, Shengzheng Wang and Wei Liu
Mastering the real-time dynamics of near-field sea ice is the primary condition to guaranteeing the navigation safety of autonomous ships in the polar region. In this study, a radar image fusion process combining marine radar and ice radar is proposed, w...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jose Manuel Monsalve-Tellez, Jorge Luis Torres-León and Yeison Alberto Garcés-Gómez
This paper presents an evaluation of land cover accuracy, particularly regarding oil palm crop cover, using optical/synthetic aperture radar (SAR) image fusion methods through the implementation of the random forest (RF) algorithm on cloud computing plat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuli Wang, Hui Liu and Nan Chen
This paper proposes a 3D vehicle-detection algorithm based on multimodal feature fusion to address the problem of low vehicle-detection accuracy in unmanned system environment awareness. The algorithm matches the coordinate relationships between the two ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qianqian Chen, Changshi Xiao, Yuanqiao Wen, Mengwei Tao and Wenqiang Zhan
Due to the high error frequency of the existing methods in identifying a ship?s navigational intention, accidents frequently occur at intersections. Therefore, it is urgent to improve the ability to perceive ship intention at intersections. In this paper...
ver más
|
|
|
|
|
|
|
|
|
|
|
Limei Wang, Guowang Jin, Xin Xiong, Hongmin Zhang and Ke Wu
Although winter wheat has been mapped by remote sensing in several studies, such mapping efforts did not sufficiently utilize contextual information to reduce the noise and still depended heavily on optical imagery and exhausting classification approache...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chuang Zhang, Meihan Fang, Chunyu Yang, Renhai Yu and Tieshan Li
Electronic charts and marine radars are indispensable equipment in ship navigation systems, and the fusion display of these two parts ensures that the vessel can display dangerous moving targets and various obstacles on the sea. To reduce the noise inter...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dae Kyo Seo and Yang Dam Eo
Image fusion is an effective complementary method to obtain information from multi-source data. In particular, the fusion of synthetic aperture radar (SAR) and panchromatic images contributes to the better visual perception of objects and compensates for...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rui Zhang, Xinming Tang, Shucheng You, Kaifeng Duan, Haiyan Xiang and Hongxia Luo
Remote sensing data plays an important role in classifying land use/land cover (LULC) information from various sensors having different spectral, spatial and temporal resolutions. The fusion of an optical image and a synthetic aperture radar (SAR) image ...
ver más
|
|
|
|
|
|