2017
DOI: 10.1109/jproc.2017.2730585
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A Novel Methodology to Label Urban Remote Sensing Images Based on Location-Based Social Media Photos

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Cited by 25 publications
(21 citation statements)
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References 38 publications
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“…In the near future, all-day, all-weather and full spectrum acquisition segment datasets will be provided by commercial satellites, such as the Jilin-1 constellation, which has launched 10 fine-spatial resolution satellites by February 2018 and will have 60 satellites in orbit by 2020 with a capability of observing any global arbitrary point with a 30 minute revisit frequency [191]. Those video satellites with a (very) fine temporal and spatial resolution can effectively be exploited to monitor our location-based living environments like CCD cameras but on a much larger scale [192]. From a broader spatial perspective, new opportunities for humankind can be provided by the big remote sensing data acquired by those satellites jointly with social media data providing local and live/real time information to better monitor our living environment [192], especially in the applications of smart cities [193], [194], emergency and environmental hazards [195], [196], etc.. On the other hand, new challenges can appear from unprecedented access to a huge number of remote sensing data that are leading to a data-rich but knowledgepoor environment in a fast manner.…”
Section: Big Data and Social Mediamentioning
confidence: 99%
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“…In the near future, all-day, all-weather and full spectrum acquisition segment datasets will be provided by commercial satellites, such as the Jilin-1 constellation, which has launched 10 fine-spatial resolution satellites by February 2018 and will have 60 satellites in orbit by 2020 with a capability of observing any global arbitrary point with a 30 minute revisit frequency [191]. Those video satellites with a (very) fine temporal and spatial resolution can effectively be exploited to monitor our location-based living environments like CCD cameras but on a much larger scale [192]. From a broader spatial perspective, new opportunities for humankind can be provided by the big remote sensing data acquired by those satellites jointly with social media data providing local and live/real time information to better monitor our living environment [192], especially in the applications of smart cities [193], [194], emergency and environmental hazards [195], [196], etc.. On the other hand, new challenges can appear from unprecedented access to a huge number of remote sensing data that are leading to a data-rich but knowledgepoor environment in a fast manner.…”
Section: Big Data and Social Mediamentioning
confidence: 99%
“…Those video satellites with a (very) fine temporal and spatial resolution can effectively be exploited to monitor our location-based living environments like CCD cameras but on a much larger scale [192]. From a broader spatial perspective, new opportunities for humankind can be provided by the big remote sensing data acquired by those satellites jointly with social media data providing local and live/real time information to better monitor our living environment [192], especially in the applications of smart cities [193], [194], emergency and environmental hazards [195], [196], etc.. On the other hand, new challenges can appear from unprecedented access to a huge number of remote sensing data that are leading to a data-rich but knowledgepoor environment in a fast manner. Here, the semantic gap of remote sensing data is usually caused due to the lack of certain land-cover or land-use remote sensing categories on site.…”
Section: Big Data and Social Mediamentioning
confidence: 99%
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“…Crowdsensing aka Mobile Phone Sensing (MPS) is a promising approach to observe real-world phenomena at a very large scale. The many MPS applications that have emerged over the years illustrate well the added value: micro-blogging [25], mobile social networking [16], quantified selves [23], urban tomography [1], environmental monitoring [26], transportation [4], or dynamic indoor map construction [6] all benefit from MPS. It is our perspective that MPS has been and will continue generating drastic changes in the way we approach science in the years to come.…”
Section: Crowdsensing Iot Ai and Middlewarementioning
confidence: 99%
“…For illustration, we refer to our background experience with the Ambiciti/SoundCity solution (http://ambiciti.io/), which features a MPS application and cloud-based platform for monitoring the individual and collective exposure to environmental pollution, and particularly noise [8]. The development of Ambiciti started in 2014 to result in the first launch of the application with the support of the city of Paris in summer 2015 1 . We have then shown that the assimilation of MPS observations allows generating street-level noise pollution maps that enhance traditional simulated maps [20], provided the calibration of the application [21].…”
Section: Crowdsensing Iot Ai and Middlewarementioning
confidence: 99%