Ahmad Javaheri; Ali Mohammadpour
Volume 18, Issue 69 , May 2009, , Pages 24-27
Abstract
Today, numerous active and inactive sensors are busy taking information from objects and ground features, and produce varied information from objects at different wave-lengths and with different resolutions. Potentially, each one of these pieces of information can be utilized as one of the sources of ...
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Today, numerous active and inactive sensors are busy taking information from objects and ground features, and produce varied information from objects at different wave-lengths and with different resolutions. Potentially, each one of these pieces of information can be utilized as one of the sources of supplying triple spectral, textural and geometrical (structural) components. Owing to the ability of LIDAR sensor to provide with geometric information as well this sensor’s recent advent, we have examined the potentials and different behaviors of this sensor in detecting various ground features.
Hadi Babapour; Ahmad Javaheri; Ali Mohammadpour
Volume 17, Issue 68 , February 2008, , Pages 41-44
Abstract
Given the existing sanctions on the use of new technologies in the field of photogrammetry and remote sensing, and given that the Geographic Organization has one of the most advanced digital cameras in the world, the importance of localization in the field of production and self-sufficiency is increasingly ...
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Given the existing sanctions on the use of new technologies in the field of photogrammetry and remote sensing, and given that the Geographic Organization has one of the most advanced digital cameras in the world, the importance of localization in the field of production and self-sufficiency is increasingly felt.
The installation of digital camera on a plane was one of the problems which, thankfully, was solved by the experts of the Geographic Organization. In the next step, the status parameters (translation and rotation parameters) of the digital camera should be determined relative to the two GPS and INS systems. Therefore, the first digital images were obtained by designing control points and appropriate flight paths over a test area.
Finally, the magnitude of rotation parameter (Bore Sight), magnitude of shift (GPS Drift) and also the effect of Self-Calibration equations in final results and the determination of the magnitude of extra parameters were determined.
Ahmad Javaheri; Ebrahim Gholipour
Volume 16, Issue 63 , November 2007, , Pages 22-25
Abstract
Recognition and classification of land features on the images have been considered as the base of many applications including the development of a digital model of elevation, identification of changes, updating of maps and many other cases in geomatics. In recent years, researchers have tried to improve ...
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Recognition and classification of land features on the images have been considered as the base of many applications including the development of a digital model of elevation, identification of changes, updating of maps and many other cases in geomatics. In recent years, researchers have tried to improve the accuracy of this process. By recognizing land features and classification of the image we mean the set of processes and operations which lead to identifying land features and attributing a sticker to each of the pixels entering the classification operation. Based on this, recognition and identification can be achieved by relying on the differences between objects in terms of characteristics recorded by different sensors. The more varied information is available, the more precise and reliable the results will be. Today, with the advancement of technology, various types of information are available by various sensors. But none of these sources provide all the textural, geometric, and spectral properties of an object. That's why it is inevitable to combine the information from different sensors to complete the descriptive space that leads to more accurate extraction of land features. In this study, the integration of digital aerial image information and Lidar data has been evaluated and its role in increasing the accuracy of classification has been tested using a data set from an area in Germany. The results show that the classification accuracy is increased by using digital aerial image and Lidar data simultaneously.
