Marine-based Mobile Mapping and Survey Systems
نویسنده
چکیده
Recent advances in Light Detection and Ranging (Lidar) sensors, inter-operability of various remote sensing systems and improved data processing capabilities have made it possible for certain laser imaging instruments, previously limited to stationary scanning platforms, to operate on mobile platforms. The practice of combining and synthesizing lidar-acquired data with dynamic motion data derived from Position and Orientation Systems (POS) to produce geo-referenced point cloud data from a marine-based mobile platform is also addressed. Conventional airborne mapping and terrestrial-based scanning techniques faced a particular challenge when tasked to map and shoreline environments. Shorelines with very steep vertical inclinations (e.g., the face of cliffs) are obscured from aircraft-mounted sensors. Using these tools to image large marine infrastructures such as oil platforms has also presented a challenge. However, combining the existing technologies of lidar, GPS and Position Orientation Systems (POS) in novel ways shows great potential for specialized applications that meet the challenges of mapping previously inaccessible environments from marine-based mobile survey platforms. Today, scanning can be performed from moving vehicles, in-motion platforms and boats at ranges exceeding 1 km. The results achieved by using GPS-corrected point cloud data in tandem with a long-range laser imager are presented. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 34, Part XXX
منابع مشابه
A New Method for Detecting Ships in Low Size and Low Contrast Marine Images: Using Deep Stacked Extreme Learning Machines
Detecting ships in marine images is an essential problem in maritime surveillance systems. Although several types of deep neural networks have almost ubiquitously used for this purpose, but the performance of such networks greatly drops when they are exposed to low size and low contrast images which have been captured by passive monitoring systems. On the other hand factors such as sea waves, c...
متن کاملOptimal Trajectory Planning of a Mobile Robot with Spatial Manipulator For Spatial Obstacle Avoidance
Mobile robots that consist of a mobile platform with one or many manipulators mounted on it are of great interest in a number of applications. Combination of platform and manipulator causes robot operates in extended work space. The analysis of these systems includes kinematics redundancy that makes more complicated problem. However, it gives more feasibility to robotic systems because of the e...
متن کاملA Survey of Solutions to Protect Against All Types of Attacks in Mobile Ad Hoc Networks
In recent years mobile networks have expanded dramatically, compared with other wireless networks. Routing protocols in these networks are designed with the assumption that there is no attacker node, so routing protocols are vulnerable to various attacks in these networks. In this paper, we review the network layer attacks and then we simulate the impact of black hole attack on ad hoc on demand...
متن کاملKarstification Potential Mapping in Northeast of Khuzestan Province, Iran, using Fuzzy Logic and Analytical Hierarchy Process (AHP) techniques
The primary objective of the current study is to produce karstification potentiality maps in northeast of Khuzestan province, Iran, using both fuzzy logic and AHP models as an additional tool in hydrogeological research. Geographic Information Systems (GIS) and Remote Sensing (RS) are used to create two maps depicting the development of the karstification, consisting of five classes, showing th...
متن کاملNew Adaptive UKF Algorithm to Improve the Accuracy of SLAM
SLAM (Simultaneous Localization and Mapping) is a fundamental problem when an autonomous mobile robot explores an unknown environment by constructing/updating the environment map and localizing itself in this built map. The all-important problem of SLAM is revisited in this paper and a solution based on Adaptive Unscented Kalman Filter (AUKF) is presented. We will explain the detailed algorithm...
متن کامل