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Material segmentation of remote sensing imagery

Low-resolution remote sensing data makes it difficult to discern the composition of individual pixels, especially when isolated from their surroundings. This issue is accentuated by the limited and costly process of annotating this data, and high-resolution data is either publicly restricted, requires a significant time investment to provide meaning to
openaire   +1 more source

Remote Sensing in Ecology with imageRy for R

This seminar, led by Duccio Rocchini, provides an in-depth exploration of how remote sensing can enhance ecological research, focusing on the use of the imageRy R package for data analysis. Participants will gain practical skills in processing satellite imagery, mapping vegetation, assessing biodiversity, and integrating spatial data, equipping them to
openaire   +1 more source

Fuzzy AutoEncode Based Cloud Detection for Remote Sensing Imagery

Remote Sensing, 2017
Fan Yewen, Zhenfeng Shao
exaly  

Urban Land Use Mapping by Combining Remote Sensing Imagery and Mobile Phone Positioning Data

Remote Sensing, 2018
Jianghao Wang   +2 more
exaly  

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