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Proceedings International Workshop on Mobile Mapping Technology

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fullscreen: Proceedings International Workshop on Mobile Mapping Technology

Monograph

Persistent identifier:
856671290
Author:
Li, Rongxing
Title:
Proceedings International Workshop on Mobile Mapping Technology
Sub title:
April 21 - 23, 1999, Bangkok, Thailand
Scope:
1 Online-Ressource (Getr. Zählung [ca. 400 Seiten])
Year of publication:
1999
Place of publication:
London
Publisher of the original:
RICS Books
Identifier (digital):
856671290
Illustration:
Illustrationen, Diagramme, Karten
Language:
English
Usage licence:
Attribution 4.0 International (CC BY 4.0)
Publisher of the digital copy:
Technische Informationsbibliothek Hannover
Place of publication of the digital copy:
Hannover
Year of publication of the original:
2016
Document type:
Monograph
Collection:
Earth sciences

Chapter

Title:
[Session 7A: Automatic Object Extraction and Recognition]
Document type:
Monograph
Structure type:
Chapter

Chapter

Title:
FEATURE EXTRACTION FROM MOBILE MAPPING IMAGERY SEQUENCES USING GEOMETRIC CONSTRAINTS. Fei Ma and Ron Li.
Document type:
Monograph
Structure type:
Chapter

Contents

Table of contents

  • Proceedings International Workshop on Mobile Mapping Technology
  • Cover
  • ColorChart
  • Title page
  • Title page
  • Proceedings of International Workshop on Mobile Mapping Technology April 21-23, 1999, Maruay Garden Hotel, Bangkok, Thailand
  • Greeting from Bangkok.
  • PREFACE.
  • On behalf of the International Association of Geodesy (IAG) Working Group [...]
  • TECHNICAL PROGRAM.
  • [Session 1: Mobile Mapping (1)]
  • A ROBUST METHOD FOR REGISTERING 2.5D LASER RANGE IMAGES OF URBAN OBJECTS. Huijing ZHAO, Ryosuke SHIBASAKI.
  • AN INTELLIGENT MOBILE MAPPING SYSTEM. Naser El-Sheimy, Mike Chapman, and C. Tao.
  • A Mobile Mapping System Based on GPS, GIS and Multi-sensor. Deren Li.
  • AIRPORT DATA BASIS FOR TAGSY GUIDANCE SYSTEMS. W. Möhlenbrink, R. Bettermann.
  • INTEGRATING TECHNOLOGIES: DGPS, DEAD RECKONING AND MAP MATCHING. T. A. Hailes.
  • [Session 2: Mobile Mapping (2)]
  • FILTERALGORITHMS FOR OPTIMAL DETERMINATION OF POSITION AND ATTITUDE OF THE MOBILE MAPPING SYSTEM KISS. H. Sternberg, W. Caspary and H. Heister.
  • DEVELOPMENT OF AN INTEGRATED SYSTEM FOR MAPPING ROAD WIDTH USING DIGITAL VIDEO AND GLOBAL POSITIONING SYSTEM. Shanmugam Ganeshkumar, Kiyoshi HONDA, Shunji MURAI.
  • DIRECT PLATFORM ORIENTATION IN AERIAL AND LAND-BASED MAPPING PRACTICE. Dorota A. Grejner-Brzezinska, Charles K. Toth and Edward Oshel.
  • TOWARDS AUTOMATED PROCESSING OF MOBILE MAPPING IMAGE SEQUENCES. C. Tao, M. A. Chapman, and N. El-Sheimy, B. Chaplin.
  • [Poster Session (1) on Airborne & Spaceborne Remote Sensing (JARS)]
  • Generation of Digital Elevation Model derived from JERS1 SAR Interferometry. Mitsuharu TOKUNAGA.
  • GENERALIZATION TECHNIQUES FOR LAYERED NEURAL NETWORKS IN THE CLASSIFICATION OF REMOTELY SENSED IMAGES. Eihan SHIMIZU and Morito TSUTSUMI, Le Van TRUNG.
  • THE CRANES' NESTING ANALYSIS USING GIS - LANDSCAPE ECOLOGICAL APPLICATIONS -. Koichi HIRATA, Hiroshi MURAKAMI.
  • INTERPRETABILITY OF GEOGRAPHIC INFORMATION FROM HIGH RESOLUTION SATELLITE IMAGES. Toshiaki Hashimoto.
  • Reassessment of Todaro's Migration Model to Incorporate Socioeconomic and Natural Resource Environment by Using Remote Sensing and GIS: A Case of Thailand. Bhuwneshwar Prasad SAH, Eihan SHIMIZU and Morito TSUTSUMI.
  • LAND COVER OF ASIA. Ryutaro Tateishi.
  • Development of Drain Direction Model based onGTOPO30 and Global Data Sets. Shiro Ochi and Ryosuke Shibasaki.
  • [Session 3: Kinematic Real-time Positioning]
  • Positioning Principles and Accuracy of Airborne Laser- Ranging & Multispectral-lmaging Mapping System. Liu Shaochuang, You Hongjian, Xiang Maosheng, Liu Tong, Li Shukai.
  • Accuracy Assessment and Improvement for Level Survey using Real Time Kinematic (RTK) GPS. Dinesh Manandhar, Kiyoshi Honda, Shunji Murai, Sachio Kubo, Masahiro Yonemura.
  • Airborne Mapping System with GPS-supported Aerotriangulation. Deren Li, Xiuxiao Yuan.
  • [Session 4: Sensor Integration and Calibration]
  • The Calibration of Imaging Sensors Integrated into a Rapid Route Mapping System. C. S. Fraser, A. M. Judd.
  • CALIBRATING A ZOOM LENS CCD CAMERA FOR A TERRESTRIAL IMAGE BASED SURVEY SYSTEM. Y. D. Huang and D. Chen.
  • METHOD FOR ACCURATE CAMERA ORIENTATION FOR AUTOMOBILE PHOTOGRAMMETRIC SYSTEM. V. A. Knyaz, S. Yu. Zheltov.
  • MULTI-SENSOR MAP MATCHING CONCEPTS FOR POSITIONING OF ROAD AND RAIL VEHICLES. R. Czommer, W. Möhlenbrink.
  • SENSOR INTEGRATION AND CALIBRATION OF DIGITAL AIRBORNE THREE-LINE CAMERA SYSTEMS. Michael Cramer, Dirk Stallmann and Norbert Haala.
  • [Session 5A: Applications (1)]
  • Application of Photogrammetric Image Data for Roadway Construction. Guangping He.
  • SURVEYING AND MAPPING OF URBAN STREETS BY PHOTOGRAMMETRIC TRAVERSE. A. R. SILVA, J. C. BATISTA, R. A. OLIVEIRA, P. O. CAMARGO and J. F. C. SILVA.
  • [Session 5B: Real-time Imaging (ARIDA)]
  • ESTIMATION OF ACCURACY OF AIRBORNE LASER PROFILING. Koukichi Kimura, Teruvoshi Fujiwara, Yukihide Akiyama.
  • CRACK SITUATION GRASP OF DIGITAL IMAGE METHOD. Tatuhide NAKANE, Hisasi TAKAGI, Masaharu OZAWA.
  • Mobile Mapping Technologies for Safety Driving Assistance in ITS. Yutaka Shimogaki, Tooru Kitagawa, Yoshiki Yamano, Katunori Takahashi.
  • [Session 6A: Applications (2)]
  • Virtual Reality Model Created from Mobile Mapping Data as Interface to GIS. Krzysztof Gajdamowicz.
  • IMPROVED DEM EXTRACTION TECHNIQUES - COMBINING LIDAR DATA WITH DIRECT DIGITAL GPS/INS ORIENTED IMAGERY. Charles K. Toth and Dorota A. Grejner-Brzezinska.
  • Focal Plane Image Assembly of Subpixel. Si-Dong Zhong, Tian chan Mei.
  • [Session 6B: Real-time Imaging (ARIDA)]
  • A Tracking System for Construction vehicles with DGPS and RTK-GPS. Shun'ichi OHTSU, Tomonori TAKADA, Tatsunori SADA.
  • A METHOD OF ROAD REPRESENTATION IN 3D MAPPING TECHNOLOGY. Tsukasa Hosomura.
  • Fundamental Study on Ground-Based Sensor Integration for Spatial Data Acquisition. Mitsunori YOSHIMURA, Tetsuji ANAI, Hirofumi CHIKATSU, Ryosuke SHIBASAKI.
  • Fundamental Study on Development and Application of the Local Positioning System using Accelerometer and Gyroscope. Toshio KOIZUMI, Yasuyuki SHIRAI, Atsuro TAKEMOTO.
  • [Poster Session (2) on Imaging Sensing (ARIDA)]
  • THE METHOD OF Field INVESTIGATIONS USING DIGITAL IMAGE. Toshiaki Taguchi, Kosuke Tsuru, Hirofumi Chikatsu.
  • PERFORMANCE OF ARTIFICIAL RETINA CAMERA AND ITS APPLICATION. Yoichi KUNII, Hirofumi CHIKATSU.
  • MOTION ANALYSIS ON THE CONSTRUCTION PLANT USING SEQUENTIAL IMAGES. Sosuke YOSHIDA, Hirofumi CHIKATSU.
  • AUTO-TRACKING AND 3D MEASUREMENT FOR MOVING OBJECT USING VIDEO THEODOLITE. Tsutomu KAKIUCHI, Hirofumi CHIKATSU.
  • Generation of 3D View Map Using by Raster Base Data Processing. Kunihiko Ono, Shunji Murai, Vivarad Phonekeo and Shigetaka Yasue.
  • REMAPPING OF HISTORICAL MAPS USING MATHEMATICAL MORPHOLOGY AND ITS APPLICATION. Nobuhiro YAMADA, Hirofumi CHIKATSU.
  • A Comparative Study on Techniques for Optical Flow Estimation : On the Application to Vehicle Motion Analysis. Takashi FUSE and Eihan SHIMIZU.
  • Dynamic Analysis of Human Motion using Digital Video Camera mounted on Video Theodolite. Tetsuji ANAI, Hirofumi CHIKATSU.
  • A New Measurement System of Settlement At Airports Using GPS and Laser Level. Bunji Shigematsu.
  • [Session 7A: Automatic Object Extraction and Recognition]
  • INTEGRATION OF FEATURE AND SIGNAL MATCHING FOR OBJECT SURFACE EXTRACTION. Pakom Apaphant, James Bethel.
  • FEATURE EXTRACTION FROM MOBILE MAPPING IMAGERY SEQUENCES USING GEOMETRIC CONSTRAINTS. Fei Ma and Ron Li.
  • A MULTILAYER HOPFIELD NEURAL NETWORK FOR 3-D OBJECT RECOGNITION. Zhuowen Tu and Ron Li.
  • DATABASE GUIDED VERIFICATION AND UPDATING OF TRANSPORTATION OBJECTS WITH VERTICAL LINE FEATURES FROM MOBILE MAPPING IMAGE SEQUENCES. C. Tao.
  • Traffic Sign Detection from Image Sequences. W. B. Tong, J. Y. Hervé, P. Cohen.
  • ROBUSTNESS TEST TO OBJECT POSITIONING IN PROJECTIVE SPACE. Xingwen Wang, Deren Li.
  • [Session 7B: Mobile Mapping for Spatial Data Acquisition]
  • AUTOMATIC MEASUREMENT OF ROAD WIDTHS IN COLOUR STEREO SEQUENCES ACQUIRED BY A MOBILE MAPPING SYSTEM. Krzysztof Gajdamowicz.
  • Wearable Computing, Wireless Communication & Knowledge Discovery for Mobile Data Acquisition & Analysis. Klaus Brinkkötter-Runde and Ubbo Visser.
  • Development of a Low-Cost DGPS/DR System for Vehicle Tracking. Xiufeng He, Thor I. Fossen and Yongqi Chen.
  • OFF Method and Its Practice on Airborne GPS Data Processing for Photogrammetry. Chen Xiaoming, Liu Jiyu, Li Deren.
  • List of Registered Participants
  • Cover

Full text

connected through a straight line. The point of greatest departure 
from the straight line is examined. If the departure is too large, 
the point becomes an anchor point for two straight line-segments. 
The procedure then repeats until all points are fitted by line 
segments. 
However, the seemingly simple algorithm is complicated by the 
necessity to determine anchor points. Any new anchor point may 
generate a need for two additional anchor points, each within two 
separated segments. We use a “first-in-last-out” stack algorithm 
to handle the anchor point selection. The algorithm is described 
as follows. 
Define a minimum departure which determines an anchor 
point, say A, 
Set a first-in-last-out stack (STK1), then sequentially push 
all the points from the first end point (marked as A) to the 
second end point (marked as B), set two more first-in-last- 
out stacks (STK2 and STK3), and mark STK2 as -, 
Push point B into STK3, and then push point A into STK3, 
Pop two end points A and B from STK3. If STK3 is NULL, 
go to step h), 
Pop end point (marked as C) from STK1. If C==B go to 
step g), 
Calculate the distance d from point C to the line AB. If d 
>A, push point B into STK3, and then push point C into 
STK3, mark STK2 as +; pop point from STK2, and push the 
point into STK1 until STK2 is NULL, go to step c). 
Otherwise, push point C into STK2, continue with step e), 
If STK2 marked as - , record point A and point C, iterative 
pop point from STK2 until STK2 is NULL, go to step d); 
else push point B into STK1, let B==C, pop point from 
STK2, and push the point into STK1 until STK2 is NULL, 
go to step e), and 
Discard STK1, STK2 and STK3, then End. 
image. The iterative line detection proceeds with the deletion of 
recognized lines. It ends when the ratio of global maximum to 
medium values in the accumulative array is less than the ratio of 
the array size to the image size. Figures 8(a) to (d) are line 
extraction results through Hough transformation. 
c) 
d) 
Figure 8 Line extraction through Hough transformation. 
4.6 Line Grouping through Perspective Geometry 
In theory, a set of parallel lines in 3-D object space converges at 
a single point known as the vanishing point when projected into 
the image space. Consider a unit sphere centered at one of the 
exposure centers, called a Gaussian sphere. A vanishing point 
can also be represented as a point on the Gaussian sphere, that is, 
a unit vector placed at the perspective center. So, given a vector 
Q in the object space, its vanishing point V on the Gaussian 
sphere can be computed as 
4.5 Hough Transformation for Global Edge Linking 
Hough transformation is mainly used here for linking edge pixels 
of straight lines. It involves transformation of a line from a 
Cartesian coordinate space to a polar coordinate space, in which, 
the transformed line is simply a point at coordinates (p,0). A 
family of lines passing through a common point maps into the 
connected set of points. The main advantage of Hough 
transformation is that it is relatively unaffected by gaps in curves 
and by noise. For the problem of straight-line detection, Hough 
technique organizes points into straight lines by considering all 
possible straight lines. 
In practice, there are two key points in an algorithm about Hough 
transformation. One is in choosing the size of the array; the other 
is in determining a threshold to form or exclude corresponding 
lines. In our study, we base the size of the array on the image 
size. Our experiments show that in order to achieve good 
localized line detection, the size should be two'to three times 
larger than the size of image. In order to exclude pseudo lines, a 
global maximum criterion (rather than local maximum) is 
selected to form a line. The longest line segment sharing two end 
points with detected edge pixels is recognized as a line in the 
where M is rotation matrix from the object to image coordinate 
system. In particular, suppose the solar azimuth is represented by 
0. We have two vectors Q and Q on the sphere
	        

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