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Confluence satellite image classification [PDF]

Acta Scientiarum Polonorum. Formatio Circumiectus, 2017
A confluence is defined as a meeting point where two or more rivers merge to become the source for a new river. This river merge adjusts its geometric parameters depending of the characteristics of its confluent rivers, particularly wide and intersection
Jorge Osvaldo Castillo-Pereyra, Fabián Rivera-Trejo, Hector Oswaldo Rubio-Arias   +2 more
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A method for compiling satellite image map geographic objects based on vector map data via deep learning [PDF]

Scientific Reports
Map compilation is a fundamental component of cartography. Apart from vector maps, satellite image maps also require compilation for specific purposes, such as enhancing visual clarity, concealing sensitive information, and ensuring consistency with ...
Jiawei Du, Dexian Zeng, Kaijun Cai, Yiyang Qiu   +3 more
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Lithium quantification based on random forest with multi-source geoinformation in Coipasa salt flats, Bolivia

International Journal of Applied Earth Observations and Geoinformation, 2023
With the widespread use of Lithium (Li) batteries, there is an urgent demand to explore Li deposits. This study aims to apply efficient remote sensing methodologies with multi-resolution images of Sentinel-2, ASTER, and JILIN GP and soil geoinformation ...
Franz Pablo Antezana Lopez, Guanhua Zhou, Lizandra Paye Vargas, Guifei Jing, Maria Elena Oscori Marca, Maritza Villalobos Quispe, Estefany Antonio Ticona, Neyza Maribel Mollericona Tonconi, Elizabeth Orozco Apaza   +8 more
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Synergistic Attention for Ship Instance Segmentation in SAR Images

Remote Sensing, 2021
This paper takes account of the fact that there is a lack of consideration for imaging methods and target characteristics of synthetic aperture radar (SAR) images among existing instance segmentation methods designed for optical images.
Danpei Zhao, Chunbo Zhu, Jing Qi, Xinhu Qi, Zhenhua Su, Zhenwei Shi   +5 more
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Graph Convolutional Networks by Architecture Search for PolSAR Image Classification

Remote Sensing, 2021
Classification of polarimetric synthetic aperture radar (PolSAR) images has achieved good results due to the excellent fitting ability of neural networks with a large number of training samples.
Hongying Liu, Derong Xu, Tianwen Zhu, Fanhua Shang, Yuanyuan Liu, Jianhua Lu, Ri Yang   +6 more
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A Novel Graph Based Fuzzy Clustering Technique For Unsupervised Classification Of Remote Sensing Images [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014
This paper addresses the problem of unsupervised land-cover classification of multi-spectral remotely sensed images in the context of self-learning by exploring different graph based clustering techniques hierarchically.
B. Banerjee, B. Krishna Moohan
doaj   +1 more source

CALIBRATION AND VALIDATION PLAN FOR THE L2A PROCESSOR AND PRODUCTS OF THE SENTINEL-2 MISSION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
The Copernicus programme, is a European initiative for the implementation of information services based on observation data received from Earth Observation (EO) satellites and ground based information.
M. Main-Knorn, B. Pflug, V. Debaecker, J. Louis   +3 more
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Sen2Like: Paving the Way towards Harmonization and Fusion of Optical Data

Remote Sensing, 2022
Satellite Earth Observation (EO) sensors are becoming a vital source of information for land surface monitoring. The concept of the Virtual Constellation (VC) is gaining interest within the science community owing to the increasing number of satellites ...
Sébastien Saunier, Bringfried Pflug, Italo Moletto Lobos, Belen Franch, Jérôme Louis, Raquel De Los Reyes, Vincent Debaecker, Enrico G. Cadau, Valentina Boccia, Ferran Gascon, Sultan Kocaman   +10 more
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A NOVEL RPC BIAS MODEL FOR IMPROVING THE POSITIONING ACCURACY OF SATELLITE IMAGES [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
High-precision satellite image geolocation is the basis for advanced processing of satellite image data. Aiming at the optimization of the satellite image positioning accuracy based on rational polynomial coefficients (RPC), we propose an RPC image-space
Y. Dong, R. Lei, D. Fan, L. Gu, S. Ji
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Estimating the Pycnocline Depth From the SAR Signature of Internal Waves in the Alboran Sea

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
In the Alboran Sea, west of the Straits of Gibraltar, the pycnocline depth has been assessed from the signature of a large amplitude internal wave (LAIW) captured by a synthetic aperture radar (SAR) image. First, the coefficients of the extended Korteweg&
Morgane Dessert, Marc Honnorat, Jean-Marc Le Caillec, Christophe Messager, Xavier Carton   +4 more
doaj   +1 more source