Information from imagery: ISPRS scientific vision and research agenda

Jun Chen, Ian Dowman, Songnian Li, Zhilin Li, Marguerite Madden, Jon Mills, Nicolas Paparoditis, Franz Rottensteiner, Monika Sester, Charles Toth, John Trinder, Christian Heipke
<span title="">2016</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sgj4ockzhjenrlnkl2wsqjql64" style="color: black;">ISPRS journal of photogrammetry and remote sensing (Print)</a> </i> &nbsp;
With the increased availability of very high-resolution satellite imagery, terrain based imaging and participatory sensing, inexpensive platforms, and advanced information and communication technologies, the application of imagery is now ubiquitous, playing an important role in many aspects of life and work today. As a leading organisation in this field, the International Society for Photogrammetry and Remote Sensing (ISPRS) has been devoted to effectively and efficiently obtaining and
more &raquo; ... information from imagery since its foundation in the year 1910. This paper examines the significant challenges currently facing ISPRS and its communities, such as providing high-quality information, enabling advanced geospatial computing, and supporting collaborative problem solving. The state-of-the-art in ISPRS related research and development is reviewed and the trends and topics for future work are identified. By providing an overarching scientific vision and research agenda, we hope to call on and mobilize all ISPRS scientists, practitioners and other stakeholders to continue improving our understanding and capacity on information from imagery and to deliver advanced geospatial knowledge that enables humankind to better deal with the challenges ahead, posed for example by global change, ubiquitous sensing, and a demand for real-time information generation. Remote sensing is the science and technology of capturing, processing and analysing imagery, in conjunction with other physical data of the Earth and the planets, from sensors in space, in the air and on the ground. Remotely sensed observations of the Earth from airborne and space-borne sensors, in synergy with insitu and hand-held measurements, provide the basis for mapping human and natural activities; for physical and empirically based process monitoring; for assessing and mitigating disasters; for identifying and assessing nonrenewable resources; for monitoring temporal changes in weather, land and sea cover; and for many other applications. Spatial and semantic descriptions of objects, features and processes are derived from one-, twoand three-dimensional (3D) measurements, and the interpretation of their electromagnetic and acoustic signal attributes using active and passive optical, thermal and microwave instruments and sounding devices. Photogrammetry is the science and technology of extracting reliable three-dimensional geometric and thematic information, often over time, of objects and scenes from image and range data. Resultant data can be used for the development of spatial databases and spatial information systems (SIS) in digital, graphical and image forms. The technology is employed for image-based three-dimensional measurements in mapping, engineering, heritage recording, forensic analysis, robotics, driver assistance systems, medical applications, computer gaming and other fields, where it provides geometric and semantic object information for populating spatial databases and for creating virtual reality scenes with real-life textured models. Spatial Information Science is concerned with the modelling, storage, processing, retrieval, application and communication of information with a spatial reference. Employing concepts and methods from spatial information science is an essential step in the process of obtaining useful information from images, since typically the description and location of objects and processes, as well as temporal relationships between these physical objects, need to be integrated with socio-economic and other data for analysis, simulation, prediction and visualisation purposes. Spatial information science deals with, for example, spatial data mining, interoperability and data integration, visual analytics, spatio-temporal perspectives on big data, visualisation and generalisation, the Internet of Things, social networks, and human-computer interaction. It is applied in transportation planning and management, urban and infrastructure planning, land and resource management, smart cities, disaster management, environmental monitoring, public health, security, and in understanding many other natural and anthropogenic processes and phenomena. It should be noted that the three topics overlap. Firstly, while photogrammetry is longer established, it is today regarded as part of the wider field of remote sensing. Nevertheless, for the sake of continuity, we will discuss both subjects separately in this paper with an emphasis on terrestrial and airborne images when referring to photogrammetry, and on satellite data when referring to remote sensing. Moreover, photogrammetry forms one of the foundations of modern computer vision (Förstner 2009). Secondly, while spatial information science is sometimes understood to include data capture, and thus photogrammetry and remote sensing, we take the view here that spatial information science is mainly concerned with making use of the information acquired from images and stored in a database, in order to emphasize our focus on imagery and image exploitation. The spatial database can thus be perceived to form an interface between photogrammetry and remote sensing, on the one side, and spatial information science on the other.
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