|
|
|
|
|
Junyi Chen, Yanyun Shen, Yinyu Liang, Zhipan Wang and Qingling Zhang
Aircraft detection in SAR images of airports remains crucial for continuous ground observation and aviation transportation scheduling in all weather conditions, but low resolution and complex scenes pose unique challenges. Existing methods struggle with ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abdul-Wadood Moomen, Lily Lisa Yevugah, Louvis Boakye, Jeff Dacosta Osei and Francis Muthoni
This paper assesses evidence-based applications of Remote Sensing for Sustainable and Precision Agriculture in the Northern Savanna Regions of Ghana for three decades (1990?2023). During this period, there have been several government policy intervention...
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
|
|
|
|
|
|
|
|
|
|
|
Styliani Tassiopoulou, Georgia Koukiou and Vassilis Anastassopoulos
In the ever-evolving landscape of tomographic imaging algorithms, this literature review explores a diverse array of themes shaping the field?s progress. It encompasses foundational principles, special innovative approaches, tomographic implementation al...
ver más
|
|
|
|
|
|
|
|
|
|
|
Angel James Medina Medina, Rolando Salas López, Jhon Antony Zabaleta Santisteban, Katerin Meliza Tuesta Trauco, Efrain Yury Turpo Cayo, Nixon Huaman Haro, Manuel Oliva Cruz and Darwin Gómez Fernández
One of the world?s major agricultural crops is rice (Oryza sativa), a staple food for more than half of the global population. In this research, synthetic aperture radar (SAR) and optical images are used to analyze the monthly dynamics of this crop in th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Salvatore Savastano, Paula Gomes da Silva, Jara Martínez Sánchez, Arnau Garcia Tort, Andres Payo, Mark E. Pattle, Albert Garcia-Mondéjar, Yeray Castillo and Xavier Monteys
Coasts are continually changing and remote sensing from satellites has the potential to both map and monitor coastal change at multiple scales. Unlike optical technology, synthetic aperture radar (SAR) is uninfluenced by darkness, clouds, and rain, poten...
ver más
|
|
|
|
|
|
|
|
|
|
|
Enzhan Zhang, Liang Li, Weiche Huang, Yucheng Jia, Minghu Zhang, Faming Kang and Hu Da
Large-scale particle image velocimetry (LSPIV) is a computer vision-based technique renowned for its precise and efficient measurement of river surface velocity. However, a crucial prerequisite for utilizing LSPIV involves camera calibration. Conventiona...
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
|
|
|
|
|
|
|
|
|
|
|
Artem Alekseevich Khalturin, Konstantin Dmitrievich Parfenchik and Vadim Anatolievich Shpenst
Given that the recent rapid growth of offshore production, especially in the Arctic region of the Russian Federation, is causing increased concern about oil spills on the water surface, this issue is especially relevant and important today. These polluta...
ver más
|
|
|
|
|
|
|
|
|
|
|
Thomas Di Martino, Bertrand Le Saux, Régis Guinvarc?h, Laetitia Thirion-Lefevre and Elise Colin
With an increase in the amount of natural disasters, the combined use of cloud-penetrating Synthetic Aperture Radar and deep learning becomes unavoidable for their monitoring. This article proposes a methodology for forest fire detection using unsupervis...
ver más
|
|
|
|
|
|