Special Issue: Spatial Technology and Social Media
Volume 105, Issue 10
Special Issue Papers
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.
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.
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.
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.
This paper presents a comprehensive overview for the technologies combining social media and spatial technology for place-of-interest cognition and image geographical localization.
This paper proposes a novel multiresolution framework that can jointly optimize the forecasting accuracy and discernibility utilizing the spatial hierarchy, correlation, and heterogeneity.
This paper presents a language-model-based approach for estimating the geographical location of web multimedia based on the accompanying text.