Determination of Object Point Coordinates by MMS Image Sequences Using Multiple Image Matching

碩士 === 國立成功大學 === 測量及空間資訊學系碩博士班 === 98 === Image sequences acquired with a Mobile Mapping System (MMS) contain rich information along the trajectory. The coordinates of interested points can be determined by space forward intersection of the images, whose interior and exterior orientation are determ...

Full description

Bibliographic Details
Main Authors: Chia-YuHsieh, 謝佳諭
Other Authors: Yi-Hsing Tseng
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/53494287211736088854
id ndltd-TW-098NCKU5367022
record_format oai_dc
spelling ndltd-TW-098NCKU53670222015-11-06T04:04:00Z http://ndltd.ncl.edu.tw/handle/53494287211736088854 Determination of Object Point Coordinates by MMS Image Sequences Using Multiple Image Matching 利用多重影像匹配獲取測量車影像點位之物空間坐標 Chia-YuHsieh 謝佳諭 碩士 國立成功大學 測量及空間資訊學系碩博士班 98 Image sequences acquired with a Mobile Mapping System (MMS) contain rich information along the trajectory. The coordinates of interested points can be determined by space forward intersection of the images, whose interior and exterior orientation are determined from the navigation and calibration data. Hence the acquisition of spatial data is much efficient. The basic idea to obtain the 3D coordinates of conjugate points from overlap images is to rebuild the geometric relation between images. Obtaining conjugate points of image sequences by image matching is much more efficient than manual measurement. However the factors of scale variations, different field of view, and occlusion may result in incorrect matching. In this research, image matching in object space with virtual surface is proposed to overcome the problems of matching in image space. Due to the image sequences are acquired during the vehicle moving, the distance variations from objects to cameras cause differences between foreground and background in images. Occlusion problems also cause difficulties of image matching. The process to filter out occluded images is proposed, and the remaining useful images are kept for multiple image matching. In addition, multiple windows matching, in which the target point is located in different positions, is developed to ease the problems caused by complex backgrounds. The test results of the experiments show the proposed method can deliver correct matching results good to about 80% to 90%. The determined coordinates are about 10 cm in precision, and about 50 cm in accuracy. The quality of point determination is good enough for general applications of GIS data acquisition. Accuracy can be improved, if the positioning and orientation system of the MMS can be improved. Yi-Hsing Tseng 曾義星 2010 學位論文 ; thesis 76 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立成功大學 === 測量及空間資訊學系碩博士班 === 98 === Image sequences acquired with a Mobile Mapping System (MMS) contain rich information along the trajectory. The coordinates of interested points can be determined by space forward intersection of the images, whose interior and exterior orientation are determined from the navigation and calibration data. Hence the acquisition of spatial data is much efficient. The basic idea to obtain the 3D coordinates of conjugate points from overlap images is to rebuild the geometric relation between images. Obtaining conjugate points of image sequences by image matching is much more efficient than manual measurement. However the factors of scale variations, different field of view, and occlusion may result in incorrect matching. In this research, image matching in object space with virtual surface is proposed to overcome the problems of matching in image space. Due to the image sequences are acquired during the vehicle moving, the distance variations from objects to cameras cause differences between foreground and background in images. Occlusion problems also cause difficulties of image matching. The process to filter out occluded images is proposed, and the remaining useful images are kept for multiple image matching. In addition, multiple windows matching, in which the target point is located in different positions, is developed to ease the problems caused by complex backgrounds. The test results of the experiments show the proposed method can deliver correct matching results good to about 80% to 90%. The determined coordinates are about 10 cm in precision, and about 50 cm in accuracy. The quality of point determination is good enough for general applications of GIS data acquisition. Accuracy can be improved, if the positioning and orientation system of the MMS can be improved.
author2 Yi-Hsing Tseng
author_facet Yi-Hsing Tseng
Chia-YuHsieh
謝佳諭
author Chia-YuHsieh
謝佳諭
spellingShingle Chia-YuHsieh
謝佳諭
Determination of Object Point Coordinates by MMS Image Sequences Using Multiple Image Matching
author_sort Chia-YuHsieh
title Determination of Object Point Coordinates by MMS Image Sequences Using Multiple Image Matching
title_short Determination of Object Point Coordinates by MMS Image Sequences Using Multiple Image Matching
title_full Determination of Object Point Coordinates by MMS Image Sequences Using Multiple Image Matching
title_fullStr Determination of Object Point Coordinates by MMS Image Sequences Using Multiple Image Matching
title_full_unstemmed Determination of Object Point Coordinates by MMS Image Sequences Using Multiple Image Matching
title_sort determination of object point coordinates by mms image sequences using multiple image matching
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/53494287211736088854
work_keys_str_mv AT chiayuhsieh determinationofobjectpointcoordinatesbymmsimagesequencesusingmultipleimagematching
AT xièjiāyù determinationofobjectpointcoordinatesbymmsimagesequencesusingmultipleimagematching
AT chiayuhsieh lìyòngduōzhòngyǐngxiàngpǐpèihuòqǔcèliàngchēyǐngxiàngdiǎnwèizhīwùkōngjiānzuòbiāo
AT xièjiāyù lìyòngduōzhòngyǐngxiàngpǐpèihuòqǔcèliàngchēyǐngxiàngdiǎnwèizhīwùkōngjiānzuòbiāo
_version_ 1718125892903895040