PE&RS January 1996

VOLUME 62, NUMBER 1
PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
JOURNAL OF THE AMERICAN SOCIETY FOR PHOTOGRAMMETRY AND REMOTE SENSING

Peer-Reviewed Article Abstracts

47-55 Automatic Relative Orientation of Aerial Images
Tang Liang and Christian Heipke

Abstract
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An approach is described for automatic relative orientation of a stereopair of digital aerial images. Features-based image matching using point features extracted with a modified version of the Moravec operator and a coarse-to-fine strategy are incorporated into the approach. In higher image pyramid levels, where images are small in size and of low resolution, the entire model area is searched for interest points. In lower levels, window tracking is carried out in order to speed up the entire procedure and to stabilize the final results. In all levels, matching is based on geometric as well as radiometric constraints. The approach was developed as one of the automation-oriented software components of a digital photogrammetric workstation.

57-66 A Recursive Approach to Space Resection Using Straight Line
Antonio Maria Garcia Tommaselli and Clsio Luis Tozzi

Abstract
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An approach using straight lines as features to solve the photogrammetric space restriction problem is presented. An explicit mathematical model relating straight lines, in both object and image space, is used. Based on this model, Kalman Filtering is applied to solve the space resection problem. The recursive property of the filter is used in an iterative process which uses the sequentially estimated camera location parameters to feedback to the feature extraction process in the image. This feedback process leads to a gradual reduction of the image space for feature searching and consequently eliminates the bottleneck due to the high computational cost of the image segmentation phase. It also enables feature extraction and the determination of feature correspondence in image and object space in an automatic way, ie without operator interference.

67-72 Precision Rectification of SPOT Imagery Using the Direct Linear Transformation Model
Yasser El-Manadili
and Kurt Novak

Abstract
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A simple rigorous method for the geometric processing of SPOT images is formulated and evaluated. This method is based on the Direct Linear Transformation (DLT) model, which is employed after correcting the image coordinates for systematic distortions caused by Earth rotation and cell size variations due to off-nadir viewing. Corrections for other types of systematic errors are considered through the adjustment. Several experiments are presented using synthetic and real data to evaluate the new method. Simulated data are generated from a general model that imitates the SPOT orbit using the Eulerian parameters, satellite deviations, and velocity vectors, as well as sensor attitude angles as functions of time. The results show that sub-pixel accuracy can be achieved with as few as six control points, if control point errors are kept small.

73-77 Relative Accuracy of Rectifications Using Coordinates Determined from Maps and the Global Positioning System
Allen E. Cook
and John E. Pinder III

Abstract
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Global positioning systems (GPS) that use code phase receivers have the potential for providing more accurate coordinates for ground control points (GCPs) than do 7.5-minute quadrangle maps. To evaluate the effect of the greater accuracy of GPS in determining coordinates for satellite images, GCP coordinates were measured on maps and by GPS techniques and were then used to rectify Landsat Thematic Mapper, SPOT multispectral, and SPOT panchromatic images from the same area. There were major differences between rectifications using map and GPS coordinates. The improvements in accuracy when using the GPS data were substantial for even the relatively large Thematic Mapper pixels and warrant the use of GPS where position accuracy is essential.

79-83 Initial Approximations for the Three-Dimensional Conformal Coordinate Transformation
Bon A. Dewitt

Abstract
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The three-dimensional conformal coordinate transformation has many applications. In terrestrial photogrammetry it can be used to transform artibtary stereomodel coordinates to object space systems. Determination of initial approximations in such situations is typically not as straightforwad as in the aerial case. A method is presented which allows a direct solution of initial approximations given any arbitrary angular orientation and three-dimensional control.

85-88 Design and Implementation of a Photogrammetric Geo-Calculator in a Windows Environment
Rongxing Li

Abstract
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The design and implementation aspects of a Geo-Calculator developed in a windows environment are described. Using this 'soft' calculator, geometric entities such as coordinates, distances, differences of elevation, azimuths, areas, and profiles can be calculated through the measurement of objects appearing in stereo images. The Geo-Calculator is implemented as an individual system to provide convenient geo-functions. Thus, it can be adapted as a separate component for softcopy photogrammetry, digital mapping, and geographic information systems. Because the graphic user interface is designed to be user-friendly, no specific photogrammetric background is required when using the calculator.

89-92 A Photogrammetric Simulator for Close-Range Applications
Tian-Yuan Shih

Abstract
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Simulation is an important process for project design. An algorithm specifically designed for close-range applications is described in this study. This algorithm, based on human behaviour, simulates the hand-held camera situation. The algorithm and a numerical example are presented. An implementation into a CAD system has been attempted, in which the initial results are rather encouraging.

93-99 Shape Reconstruction from Multiple Images of the Ocean Surface
Howard Schultz

Abstract
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To analyze the fine scale structure of the ocean surface, a new technique (known as Specular Surface Stereo) is proposed that makes use of the unique optical properties of water. In this method, the surface shape is recovered by solving the inverse problem of finding a surface shape (defined by an elevation and gradient map) that results in a set of synthetic (computer generated) images that closely match a set of observed images. To accomplish this, the algorithm requires an image of the illumination source, three images of the water surface, a few initial elevation estimates, and an image synthesis model that predicts the appearance of an image of the surface. Based on these numerical results, it is shown that the Specular Surface Stereo technique can potentially recover both surface elevations and gradients over a wide range of wavenumbers.