The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 

About: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences is an academic journal. The journal publishes majorly in the area(s): Point cloud & Photogrammetry. Over the lifetime, 2394 publications have been published receiving 10349 citations.

Digital camera calibration methods: Considerations and comparisons

Abstract: Camera calibration has always been an essential component of photogrammetric measurement, with self-calibration nowadays being an integral and routinely applied operation within photogrammetric triangulation, especially in high-accuracy close-range measurement. With the very rapid growth in adoption of off-the-shelf digital cameras for a host of new 3D measurement applications, however, there are many situations where the geometry of the image network will not support robust recovery of camera parameters via on-the-job calibration. For this reason, stand-alone camera calibration has again emerged as an important issue in close-range photogrammetry, and it also remains a topic of research interest in computer vision. This paper overviews the current approaches adopted for camera calibration in close-range photogrammetry and computer vision, and discusses operational aspects for self-calibration. Also, the results of camera calibrations using different algorithms are summarized. Finally, the impact of chromatic aberration on modelled radial distortion is touched upon to highlight the fact that there are still issues of research interest in the photogrammetric calibration of consumer-grade digital cameras.

Research on geographical environment unit division based on the method of natural breaks (jenks)

Abstract: . Zoning which is to divide the study area into different zones according to their geographical differences at the global, national or regional level, includes natural division, economic division, geographical zoning of departments, comprehensive zoning and so on. Zoning is of important practical significance, for example, knowing regional differences and characteristics, regional research and regional development planning, understanding the favorable and unfavorable conditions of the regional development etc. Geographical environment is arising from the geographical position linkages. Geographical environment unit division is also a type of zoning. The geographical environment indicators are deeply studied and summed up in the article, including the background, the associated and the potential. The background indicators are divided into four categories, such as the socio-economic, the political and military, the strategic resources and the ecological environment, which can be divided into more sub-indexes. While the sub-indexes can be integrated to comprehensive index system by weighted stacking method. The Jenks natural breaks classification method, also called the Jenks optimization method, is a data classification method designed to determine the best arrangement of values into different classes. This is done by seeking to minimize each class’s average deviation from the class mean, while maximizing each class’s deviation from the means of the other groups. In this paper, the experiment of Chinese surrounding geographical environment unit division has been done based on the natural breaks (jenks) method, the geographical environment index system and the weighted stacking method, taking South Asia as an example. The result indicates that natural breaks (jenks) method is of good adaptability and high accuracy on the geographical environment unit division. The geographical environment research was originated in the geopolitics and flourished in the geo-economics. The main representatives of the geopolitics are German geographer Friedrich Ratzel, British geographer Mackinder and American geographical politician Nicholas John Spykman etc. The main representative of the geo-economics is American geographical economist Edward Luttwak. China has the most neighboring countries in the world, and its geographical environment is extremely complex. With the continuous development of globalization, China's relations with neighboring countries have become more complex and more closely. So it is very meaningful to have depth research on geographical environment unit division of China.

Processing full-waveform lidar data: Modelling raw signals

Abstract: The ultimate goal of biological motion perception is to be able to understand actions so as to provide an answer to the question, “Who did what to whom and why?” This inference capacity enables humans to go beyond the surface appearance of behavior in order to successfully interact with others and with the environment. In addition to its functional importance, understanding biological motion bridges several major fields, including perception, reasoning, and social cognition. However, despite its paramount role in human perception and cognition, only limited progress has so far been made in understanding biological motion. After reviewing the relevant literature, this essay argues that future research needs to identify the contributions of three basic processes involved in understanding biological motion: perception of animacy, causality, and intention. The involvement of these basic processes needs to be investigated both in the typical healthy population as well as in populations with mental disorders, such as autism spectrum disorders and schizophrenia. We also suggest that a productive research approach should focus on more interactive actions of the sort often observed in the natural social environment, rather than solely using the single-actor displays that have been typical in previous work. It is further emphasized that there is a need for a theoretical and computational framework within which these different types of processing can be united. We propose that the predictive coding framework provides a good candidate. Keywords: biological motion; intentions; animacy; causality; predictive coding; interaction; prediction

Parametric accuracy: building information modeling process applied to the cultural heritage preservation

Abstract: . Since their introduction, modeling tools aimed to architectural design evolved in today’s "digital multi-purpose drawing boards" based on enhanced parametric elements able to originate whole buildings within virtual environments. Semantic splitting and elements topology are features that allow objects to be "intelligent" (i.e. self-aware of what kind of element they are and with whom they can interact), representing this way basics of Building Information Modeling (BIM), a coordinated, consistent and always up to date workflow improved in order to reach higher quality, reliability and cost reductions all over the design process. Even if BIM was originally intended for new architectures, its attitude to store semantic inter-related information can be successfully applied to existing buildings as well, especially if they deserve particular care such as Cultural Heritage sites. BIM engines can easily manage simple parametric geometries, collapsing them to standard primitives connected through hierarchical relationships: however, when components are generated by existing morphologies, for example acquiring point clouds by digital photogrammetry or laser scanning equipment, complex abstractions have to be introduced while remodeling elements by hand, since automatic feature extraction in available software is still not effective. In order to introduce a methodology destined to process point cloud data in a BIM environment with high accuracy, this paper describes some experiences on monumental sites documentation, generated through a plug-in written for Autodesk Revit and codenamed GreenSpider after its capability to layout points in space as if they were nodes of an ideal cobweb.