Generation of Mosaic Image using Aerial Oblique Images

Abstract

The road network becomes more complex and extensive. Therefore, the inconveniences are caused in accordance with the time delay of the restoration of damaged roads, demands for excessive costs on information collection, and limitations on acquisition of damage information of the roads. Recently, road centric spatial information is gathered using mobile multi sensor system for road inventory. But expensive MMS(Mobile Mapping System) equipments require high maintenance costs from beginning and takes a lot of time in the data processing. So research is needed for continuous maintenance by collecting and displaying the damaged information on a digital map using low cost mobile camera system. In this research we aim to develop the techniques for mosaic with a regular ground sample distance using successive image from oblique camera on a vehicle. For doing this, mosaic image is generated by estimating the homography of high resolution oblique image, and the ground sample distance and appropriate overlap are analyzed using high resolution aerial oblique images which contain resolution target. Based on this we have proposed the appropriate overlap and exposure interval for mobile road inventory system.

KOMPSAT Optical Image Data Provision and Quality Management

“…1은 다목적실용위성 3호의 형상을 보여준다. 카메라 픽셀들의 균일성 확인은 side-slither라는 특수촬영을 통하여 카메라의 픽셀들이 동일 객체를 지나도록 하여 관측폭 방향의 균일성을 확보한다 (Kim et al, 2021, Seo et al, 2014…”

Development and Validation of Unmanned Aerial Vehicle Photogrammetry Simulator for Shaded Area Detection

“…The introduction of virtual reality and augmented reality technologies has increased the demand for three-dimensional (3D) models [1][2][3][4][5][6][7][8]. Among the various 3D modeling techniques, unmanned aerial vehicle (UAV) photogrammetry has the advantages of time and cost efficiency [1,[4][5][6][7][8][9][10][11][12][13].…”

“…Studies on optimal path planning to obtain a high-quality 3D model have been conducted in the flight planning section [16][17][18][19][20][21][22]. For image acquisition, optimal imaging techniques have been developed [4,11,23,24]. Furthermore, concerning image processing, studies have been conducted to improve the image registration accuracy [11,[25][26][27].…”

“…For image acquisition, optimal imaging techniques have been developed [4,11,23,24]. Furthermore, concerning image processing, studies have been conducted to improve the image registration accuracy [11,[25][26][27].…”

“…In the process of 3D modeling using UAVs, the efficiency of both image acquisition and image processing closely depends on the flight planning stage, including path planning [11,18,22]. The optimal flight path of a UAV varies depending on the object's structural characteristics and the surrounding environment [1,[19][20][21][22].…”