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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 toopenaire +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 toopenaire +1 more source
Fuzzy AutoEncode Based Cloud Detection for Remote Sensing Imagery
Remote Sensing, 2017Fan Yewen, Zhenfeng Shao
exaly
DE-Net: Deep Encoding Network for Building Extraction from High-Resolution Remote Sensing Imagery
Remote Sensing, 2019Bo Huang, Xiaodong Hu, Yingpin Yang
exaly
Deep Distillation Recursive Network for Remote Sensing Imagery Super-Resolution
Remote Sensing, 2018Peng Yi, Jing Xiao, Kui Jiang
exaly
Urban Land Use Mapping by Combining Remote Sensing Imagery and Mobile Phone Positioning Data
Remote Sensing, 2018Jianghao Wang +2 more
exaly

