Crowdsourcing in Remote Sensing: A Review of Applications and Future Directions

被引:30
|
作者
Saralioglu, Ekrem [1 ]
Gungor, Oguz [2 ,3 ,4 ]
机构
[1] Karadeniz Tech Univ, Trabzon, Turkey
[2] Karadeniz Tech Univ, Dept Geomat, Remote Sensing, Trabzon, Turkey
[3] Karadeniz Tech Univ, Dept Geomat, Remote Sensing Div, Trabzon, Turkey
[4] Turkish Natl Union Photogrammetry & Remote Sensin, Ankara, Turkey
关键词
Remote sensing; Crowdsourcing; Sensors; Satellites; Microwave radiometry; GEOGRAPHIC INFORMATION; SOCIAL MEDIA; ACCURACY ASSESSMENT; CLASSIFICATION; EARTH; OPENSTREETMAP; SYSTEMS; TOOL; IDENTIFICATION; TECHNOLOGIES;
D O I
10.1109/MGRS.2020.2975132
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The data obtained with remote sensing sensors are processed to fuel studies related to the Earth's resources and environment. Sensor technologies being developed are increasing the diversity and capabilities of remote sensing data. However, these advancements are also multiplying the volume of information enormously, straining resources for processing the data. Meanwhile, the analysis and interpretation of most satellite data have not yet been fully automated, and human intervention is still necessary at certain stages. In addition, recent deep-learning methods that offer solutions to many remote sensing problems require a large amount of labeled data.
引用
收藏
页码:89 / 110
页数:22
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