Spatial Technology and Social Media
Volume 105, Issue 10 | October 2017
Guest Editors:
Special Issue Papers
Scanning the Issue: Spatial Technology and Social Media
By A. Plaza, J. A. Benediktsson, J. Li, T. Yang, and B. Zhang
Spatial Technology and Social Media in Remote Sensing: A Survey
By J. Li, J. A. Benediktsson, B. Zhang, T. Yang, and A. Plaza
This paper provides an overview on the integration of social media content with remote-sensing-based spatial technologies.
Remote Sensing Image Scene Classification: Benchmark and State of the Art
By G. Cheng, J. Han, and X. Lu
This paper reviews the recent progress of remote sensing image scene classification, proposes a large-scale benchmark data set, and evaluates a number of state-of-the-art methods using the proposed data set.
Toward Seamless Multiview Scene Analysis From Satellite to Street Level
By S. Lefèvre, D. Tuia, J. D. Wegner, T. Produit, and A. S. Nassar
This paper provides a review of techniques for multiview scene analysis combining satellite/aerial and ground/street level imagery in order to perform scene registration, reconstruction, or classification.
Social Media: New Perspectives to Improve Remote Sensing for Emergency Response
By J. Li, Z. He, J. Plaza, S. Li, J. Chen, H. Wu, Y. Wang, and Y. Liu
This paper provides a detailed overview of strategies for the integration of social media and remote sensing data in time-critical applications. Several practical case studies and examples are presented in the context of applications focused on emergency response.
Potentials of Active and Passive Geospatial Crowdsourcing in Complementing Sentinel Data and Supporting Copernicus Service Portfolio
By F. Dell’Acqua and D. De Vecchi
The EU Copernicus initiative is a superb instance of systematic, open Earth monitoring from space and from ground. This paper provides reasons for “why” and “how” incorporating “citizen sensors” could make it even more effective in capturing relevant information.
A Novel Methodology to Label Urban Remote Sensing Images Based on Location-Based Social Media Photos
By M. Chi, Z. Sun, Y. Qin, J. Shen, and J. A. Benediktsson
This paper proposes a novel data methodology proposed to tackle the labeling problem of urban remote sensing images by exploiting big remote sensing data, comprising remote sensing images in urban areas and location-based social media data and provides a tentative solution to validate the effectiveness of the proposed methodology.
On Combining Social Media and Spatial Technology for POI Cognition and Image Localization
By X. Qian, X. Lu, J. Han, B. Du, and X. Li
This paper presents a comprehensive overview for the technologies combining social media and spatial technology for place-of-interest cognition and image geographical localization.
Spatial Event Forecasting in Social Media With Geographically Hierarchical Regularization
By L. Zhao, J. Wang, F. Chen, C.-T. Lu, and N. Ramakrishnan
This paper proposes a novel multiresolution framework that can jointly optimize the forecasting accuracy and discernibility utilizing the spatial hierarchy, correlation, and heterogeneity.
Geotagging Text Content With Language Models and Feature Mining
By G. Kordopatis-Zilos, S. Papadopoulos, and I. Kompatsiaris
This paper presents a language-model-based approach for estimating the geographical location of web multimedia based on the accompanying text.
Point of View
Our Hidden Figures
By Jelena Kovačević
Scanning Our Past
History of the Endoscope
Piet C. De Groen
