Cost-efficient information extraction from massive remote sensing data: When weakly supervised deep learning meets remote sensing big data

• Published in: International journal of applied earth observation and geoinformation Vol. 120; p. 103345
• Main Authors: Li, Yansheng, Li, Xinwei, Zhang, Yongjun, Peng, Daifeng, Bruzzone, Lorenzo
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.06.2023; Elsevier
• Subjects: computer vision; cost effectiveness; Cost-efficient information extraction; data collection; Future research directions; image analysis; Remote sensing big data mining; spatial data; surveys; Weakly supervised deep learning; Future research directions; Remote sensing big data mining; Weakly supervised deep learning; Cost-efficient information extraction

With many platforms and sensors continuously observing the earth surface, the large amount of remote sensing data presents a big data challenge. While remote sensing data acquisition capability can fully meet the requirements of many application domains, there is still a need to further explore how...