New Technology for Field Survey of Traditional Settlements

2012 ◽  
Vol 204-208 ◽  
pp. 2777-2782
Author(s):  
Ying Song ◽  
Zhe Li ◽  
Yan Li
Keyword(s):  
Information Acquisition ◽  
Satellite Remote Sensing ◽  
Field Survey ◽  
Spatial Information ◽  
New Technology ◽  
Remote Sensing Data ◽  
Unmanned Helicopter ◽  
Architectural Heritage ◽  
Spatial Information Acquisition ◽  
Small Unmanned Helicopter

Field survey provides data for further research and is a key link in research on traditional settlements and other architectural heritage. However, due to the complexity of the landform, layout, orientation of buildings, forms and structures of traditional settlements, mapping and other fieldwork may take much time and efforts and are very difficult. Besides, satellite remote sensing data are few. Therefore it is necessary to introduce some advanced equipment and technology for spatial information acquisition. Through years of experiments with aerial and ground-based equipments, the author finds that small unmanned helicopter, with its multi-functional spatial information acquisition capacity, is the best choice for the research of traditional settlements and other related fields.

Special Issue on Spatial Information Sensing

1991 ◽  
Vol 3 (3) ◽  
pp. 135-135
Author(s):  
Masanori Idesawa ◽  
◽  
Editor
Keyword(s):  
Sensor Fusion ◽  
Information Acquisition ◽  
Spatial Information ◽  
Environmental Information ◽  
Sensor Data ◽  
Special Issue ◽  
Research Subjects ◽  
Visual Sensors ◽  
Sensing System ◽  
Spatial Information Acquisition

Humans are able to respond flexibly to changes in the environment -- grasping information of objects, environmental conditions and personal state -- via senses. As such, it is indispensable for an automatic machine such as a robot to be equipped with a sensing system corresponding to the human senses which permits flexible work in a 3-D environment. Acquisition of 3-dimensional environmental information is important in particular, and spatial information measures are regarded as indispensable for acquiring 3-D environmental information. The visual sense plays an important role for humans to acquire spatial information. Reflecting on this, R&D on visual sensors is underway vigorously in the field of robotics, and many expectations are focusing on an optical sensing system which permits the detection of spatial information from remote positions without any influences on the object. Meanwhile, humans do not plan behavior based fully on sensor information, but have papered fixed form behavior programs which are launched with information obtained from sensors or implemented with some modification in many cases. There are several modes of sensing in human: a monitoring mode which detects generation of extraordinal state, and which does not always concentrate attention on all sensors to acquire information; an attentive sensing mode in which men concentrate attention on related sensors when an extraordinary phenomena is detected; intentional mode in which men detect intentionally information necessary for work or behavior to be implemented, or detect, intentionally and as planned, information being short in behavior programs; and so on. It is effective for robots when possible to acquire information in the same mode as humans and to control it the same as human behavior. Sensor data integration and sensor fusion are also required for more accurate judgement, in which much information is integrated, in addition to knowledge already accumulated; when each piece of information in itself is not enough for accurate judgement, integrated information may permit better judgement. Further, model base sensing which refers to an environmental model and knowledge based sensing, and which refers to accumulated knowledge will be important research subjects. These will be followed by intentional sensing which intentionally acquires information necessary for achievement of objectives. Finally, introduction of the hierarchical behavior mode, which corresponds to the human monitoring and attentive modes, is indispensable for a robot. In this mode, a sensor system detects the object and extraordinary state in monitoring mode, then analyses and processes details of phenomena of particularly interest in attentive mode, and then detects and acquires information necessary for achievement of objectives with optimal resolution in intentional sensing mode. The special issue on spatial information sensing is a compilation of articles on some spatial information acquisition methods, visual sensors and positioning sensors for robots. Also, some proposals are presented for realizing multiple resolution sensing, sensor fusion and active sensing, centering on an optical spatial information acquisition method.

GEOs experiments in MARS ANALOG MISSION: AMADE20

2020 ◽  
Author(s):  
Seda Ozdemir ◽  
Ania Losiak ◽  
Izabela Golebiowska
Keyword(s):  
Information Acquisition ◽  
Spatial Information ◽  
Test Site ◽  
Test Methods ◽  
Thematic Maps ◽  
Analog Simulation ◽  
Preparation Phase ◽  
Mars Analog ◽  
Exploration Area ◽  
Spatial Information Acquisition

<p>Analog missions are a unique opportunity to test methods and equipment in the field on Earth before they are used in space. AMADEE-20 is a Mars analog simulation in Negev Desert, Israel, managed by the Austrian Space Forum similar to the previous missions (Morocco2013 Groemer et al. 2014, Oman2018 Groemer et al. 2019). The test site is located within the erosional structure of the Ramon Crater. It has a variety of terrain types relevant to Mars exploration.</p><p>GEOS experiment is a suite of geology-related experiments that will be performed during the AMADEE-20, it is built on experiences from previous missions (e.g., Losiak et al. 2014). <strong>The aim </strong>of the GEOS experiments is to study how to optimise the future geological exploration on Mars.</p><p>The GEOs is divided into four parts:</p><p>(1) <strong>Geo-mapping</strong>: The aim is to optimise the process of preparing and using the geologic map of the exploration area. A map will be prepared before the mission, and later it will be improved using the data collected by a drone, rover and AAs observations. After the mission pre- and post-mission maps will be compared to optimize and improve the mission preparation phase.</p><p>(2) <strong>Geo-sampling</strong>: The aim is to compare the geological understanding of the area based on sampling and field observations performed by analog astronauts with the one obtained by a proper research performed by trained geologists in the past.</p><p>(3) <strong>Geo-compare</strong>: The aim of the study is to determine strategies of spatial information acquisition from thematic maps and the environment. In other words, we will study how people learn about the spatial relationships between objects and their attributes from thematic maps and while working in the field by using a mobile and stationary eye tracking. The results can be used to create a more efficient way of teaching spatial information acquisition skills to all the people that work in the field, including astronauts to be sent within the next couple tens of years to the Moon and Mars. </p><p>(4) <strong>Micrometeorite</strong>: The aim is to search for micrometeorites within the collected sand samples in the field, aiming to find these highest flux extraterrestrial materials on the earth's surface. This experiment might provide a practical and achievable application which may also provide information about Mars' history as well as the solar system.</p><p>Groemer et al. 2014. The MARS2013 Mars Analog Mission. Astrobiology, 14(5), 360–376.</p><p>Groemer et al. 2019. The AMADEE-18 Mars Analog Expedition in the Dhofar region of Oman. Astrobiology.</p><p>Losiak et al. 2014. Remote Science Support during MARS2013: Testing a Map-Based System of Data Processing and Utilization for Future Long-Duration Planetary Missions. Astrobiology, 14(5), 417–430.</p>

scholarly journals REMOTE SENSING DATA FUSION TO DETECT ILLICIT CROPS AND UNAUTHORIZED AIRSTRIPS

2018 ◽  
Vol XLII-3 ◽  
pp. 1363-1368
Author(s):  
J. A. Pena ◽  
T. Yumin ◽  
H. Liu ◽  
B. Zhao ◽  
J. A. Garcia ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Data Fusion ◽  
Information Acquisition ◽  
Spatial Information ◽  
Remote Sensing Data ◽  
Identification Accuracy ◽  
Sensing Data ◽  
Multi Temporal ◽  
Crop Area ◽  
Area Monitoring

Remote sensing data fusion has been playing a more and more important role in crop planting area monitoring, especially for crop area information acquisition. Multi-temporal data and multi-spectral time series are two major aspects for improving crop identification accuracy. Remote sensing fusion provides high quality multi-spectral and panchromatic images in terms of spectral and spatial information, respectively. In this paper, we take one step further and prove the application of remote sensing data fusion in detecting illicit crop through LSMM, GOBIA, and MCE analyzing of strategic information. This methodology emerges as a complementary and effective strategy to control and eradicate illicit crops.

Digital underwater photogrammetric system for large scale underwater spatial information acquisition

1997 ◽  
Vol 20 (2-3) ◽  
pp. 163-173 ◽  
Author(s):  
Rongxing Li ◽  
Chuang Tao ◽  
Terry A. Curran ◽  
Robert G. Smith
Keyword(s):  
Information Acquisition ◽  
Large Scale ◽  
Spatial Information ◽  
Spatial Information Acquisition
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