scholarly journals Editorial for the Special Issue “Frontiers in Spectral Imaging and 3D Technologies for Geospatial Solutions”

2019 ◽  
Vol 11 (14) ◽  
pp. 1714
Author(s):  
Eija Honkavaara ◽  
Konstantinos Karantzalos ◽  
Xinlian Liang ◽  
Erica Nocerino ◽  
Ilkka Pölönen ◽  
...  

This Special Issue hosts papers on the integrated use of spectral imaging and 3D technologies in remote sensing, including novel sensors, evolving machine learning technologies for data analysis, and the utilization of these technologies in a variety of geospatial applications. The presented results showed improved results when multimodal data was used in object analysis.

2019 ◽  
Vol 11 (19) ◽  
pp. 2216
Author(s):  
Xin Huang ◽  
Jiayi Li ◽  
Francesca Bovolo ◽  
Qi Wang

This special issue hosts papers on change detection technologies and analysis in remote sensing, including multi-source sensors, advanced machine learning technologies for change information mining, and the utilization of these technologies in a variety of geospatial applications. The presented results showed improved results when multi-source remote sensed data was used in change detection.


2020 ◽  
Vol 12 (17) ◽  
pp. 2815
Author(s):  
Gwanggil Jeon ◽  
Valerio Bellandi ◽  
Abdellah Chehri

This Special Issue intended to probe the impact of the adoption of advanced machine learning methods in remote sensing applications including those considering recent big data analysis, compression, multichannel, sensor and prediction techniques. In principal, this edition of the Special Issue is focused on time series data processing for remote sensing applications with special emphasis on advanced machine learning platforms. This issue is intended to provide a highly recognized international forum to present recent advances in time series remote sensing. After review, a total of eight papers have been accepted for publication in this issue.


Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 633
Author(s):  
Manuel Graña ◽  
Michal Wozniak ◽  
Sebastian Rios ◽  
Javier de Lope

Computational intelligence is a very active and fruitful research of artificial intelligence with a broad spectrum of applications. Remote sensing data has been a salient field of application of computational intelligence algorithms, both for the exploitation of the data and for the research/ development of new data analysis tools. In this editorial paper we provide the setting of the special issue “Computational Intelligence in Remote Sensing” and an overview of the published papers. The 11 accepted and published papers cover a wide spectrum of applications and computational tools that we try to summarize and put in perspective in this editorial paper.


2021 ◽  
Vol 13 (14) ◽  
pp. 2758
Author(s):  
Vasileios Syrris ◽  
Sveinung Loekken

Earth observation and remote sensing technologies provide ample and comprehensive information regarding the dynamics and complexity of the Earth system [...]


2020 ◽  
Vol 32 (12) ◽  
pp. 7743-7745
Author(s):  
Hari Mohan Pandey ◽  
Nik Bessis ◽  
Swagtam Das ◽  
David Windridge ◽  
Ankit Chaudhary

2019 ◽  
Vol 9 (21) ◽  
pp. 4676
Author(s):  
Federico Divina ◽  
Francisco Gómez-Vela

In our world, increasing amounts of data are produced everyday [...]


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