|
|
|
|
|
Viktoriya Tsyganskaya, Sandro Martinis and Philip Marzahn
Synthetic Aperture Radar (SAR) is particularly suitable for large-scale mapping of inundations, as this tool allows data acquisition regardless of illumination and weather conditions. Precise information about the flood extent is an essential foundation ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jingbei Sun, Huimin Li, Wenming Lin and Yijun He
Spaceborne synthetic aperture radar (SAR) has been proven to be a useful technique for observing the sea surface wind and current over the open ocean given its all-weather data-gathering capability and high spatial resolution. In addition to the commonly...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sellaperumal Pazhanivelan, N. S. Sudarmanian, Vellingiri Geethalakshmi, Murugesan Deiveegan, Kaliaperumal Ragunath, A. P. Sivamurugan and P. Shanmugapriya
Synthetic aperture radar (SAR) imagery, notably Sentinel-1A?s C-band, VV, and VH polarized SAR, has emerged as a crucial tool for mapping rice fields, especially in regions where cloud cover hinders optical imagery. Employing multi-temporal characteristi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Liusheng Han, Xiangyu Wang, Dan Li, Wenjie Yu, Zhaohui Feng, Xingqiang Lu, Shengshuai Wang, Zhiyi Zhang, Xin Gao and Junfu Fan
The lack of high-spectral and high-resolution remote sensing data is impeding the differentiation of various fruit tree species that share comparable spectral and spatial features, especially for evergreen broadleaf trees in tropical and subtropical area...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tao Tang, Yuting Cui, Rui Feng and Deliang Xiang
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 exi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiawen Li, Yun Yang, Xin Li, Jiahua Sun and Ronghui Li
Vessel monitoring technology involves the application of remote sensing technologies to detect and identify vessels in various environments, which is critical for monitoring vessel traffic, identifying potential threats, and facilitating maritime safety ...
ver más
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
Indra Riyanto, Mia Rizkinia, Rahmat Arief and Dodi Sudiana
Flooding in urban areas is counted as a significant disaster that must be correctly mitigated due to the huge amount of affected people, material losses, hampered economic activity, and flood-related diseases. One of the technologies available for disast...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shaona Wang, Yang Liu and Linlin Li
In this study, a novel feature learning method for synthetic aperture radar (SAR) image automatic target recognition is presented. It is based on spatial pyramid matching (SPM), which represents an image by concatenating the pooling feature vectors that ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shexiang Jiang and Xinrui Zhou
In the field of ship detection, most research on lightweight models comes at the expense of accuracy. This study aims to address this challenge through a deep learning approach and proposes a model DWSC-YOLO, which is inspired by YOLOv5 and MobileNetV3. ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Seok Kim, Chan-Mi Song, Seung-Hun Lee, Sung-Chan Song and Hyun-Ung Oh
The small synthetic aperture radar (SAR) technology experimental project (S-STEP) mission aims to develop an innovative spaceborne SAR microsatellite as a constellation of 32 microsatellites featuring a high-resolution stripmap mode of 1 m. The S-STEP is...
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
|
|
|
|
|
|
|
|
|
|
|
Seong-Cheol Kwon, Ji-Hae Son, Sung-Chan Song, Jin-Han Park, Kyung-Rae Koo and Hyun-Ung Oh
The Small SAR Technology Experimental Project (S-STEP) mission aims to develop a new (space-based 80 kg-class active X-band synthetic aperture radar (SAR)) satellite with a main imaging mode of 1 m resolution stripmap. In the S-STEP mission, to achieve t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Soo-Jin Kang, Sung-Woo Park, Hye-Yoon Choi, Gu-Hyun Ryu, Jong-Pil Kim, Sung-Hoon Jung, Se-Young Kim, Hyon-Ik Lee and Hyun-Ung Oh
This paper presents the effectiveness of the thermo-mechanical design of a high-speed digital receiver unit (HSDRU) developed for spaceborne synthetic aperture radar applications. The main features of HSDRU?s thermo-mechanical design include the thermal ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tae-Yong Park, Bong-Geon Chae, Hongrae Kim, Kyung-Rae Koo, Sung-Chan Song and Hyun-Ung Oh
The main objective of the S-STEP (the Small Synthetic Aperture Radar (SAR) Technology Experimental Project (S-STEP)) mission is developing an 80-kg-class active X-band SAR observation small satellite. For lighter, smaller, better, and cheaper development...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ali Darvishi Boloorani, Mehdi Darvishi, Qihao Weng and Xiangtong Liu
Urban infrastructures have become imperative to human life. Any damage to these infrastructures as a result of detrimental activities would accrue huge economical costs and severe casualties. War in particular is a major anthropogenic calamity with immen...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shijian Shen, Lan Tang, Xin Nie, Yechao Bai, Xinggan Zhang and Pin Li
This paper proposes two modified space time adaptive processing (STAP) methods based on piecewise sub-apertures and data constraints for non-stationary interference cancellation in synthetic aperture radar (SAR) applications. In these methods, the entire...
ver más
|
|
|
|
|
|
|
|
|
|
|
Emily Arnold, Fernando Rodriguez-Morales, John Paden, Carl Leuschen, Shawn Keshmiri, Stephen Yan, Mark Ewing, Rick Hale, Ali Mahmood, Aaron Blevins, Akhilesh Mishra, Teja Karidi, Bailey Miller and John Sonntag
Ice thickness and bed topography of fast-flowing outlet glaciers are large sources of uncertainty for the current ice sheet models used to predict future contributions to sea-level rise. Due to a lack of coverage and difficulty in sounding and imaging wi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Giovanni Nico, Sérgio C. Oliveira, Joao Catalão and José Luis Zêzere
In this work, we study the capability of the ground surface to generate Persistent Scatterers (PS) based on the lithology, slope and aspect angles. These properties affect the scattering behavior of the Synthetic Aperture Radar (SAR) signal, the interfer...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jeong-In Hwang, Sung-Ho Chae, Daeseong Kim and Hyung-Sup Jung
For ship detection, X-band synthetic aperture radar (SAR) imagery provides very useful data, in that ship targets look much brighter than surrounding sea clutter due to the corner-reflection effect. However, there are many phenomena which bring out false...
ver más
|
|
|
|
|
|