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An edge detection algorithm for multispectral remote sensing image is proposed in this paper. According to the uncertainty of the objects in the RS image and the characters of multispectral image, we ...
In order to get good precision designer used to consider how to place cameras. Usually, design would refer to multidimensional optimal problem, so people used genetic algorithms to solve it. But genet...
The application of data fusion techniques to very high resolution (VHR) satellite data can fruitfully improve the enhancement of archaeological marks and facilitate their detection. Nevertheless, the ...
Airborne laser scanner technique is broadly the most appropriate way to acquire rapidly and with high density 3D data over a city.Once the 3D Lidar data are available, the next task isthe automatic da...
Nowadays the use of hyperspectral imagery specifically automatic target detection algorithms for these images is a relatively exciting area of research.An important challenge of hyperspectral target ...
Photogrammetry, has been providing accurate coordinate measurements through the stereoscopic method for many years. LiDAR on the other hand, is becoming the prime method for large-scale acquisition of...
Traditionally, an unsupervised classification divides all pixels within an image into a corresponding class pixel by pixel; the number of clusters usually needs to be fixed a priori by a human analyst...
Nowadays 3D modeling is generally performed using image or range data. Range sensors are getting a quitecommon source of data for modeling purposes due to their speed and ability to capture millions o...
This particular study deals with the development of a Generic model called Rational Polynomial Coefficient, which relates the object space with the image space thereby, georeferencing a satellite im...
Traditionally, an unsupervised classification divides all pixels within an image into a corresponding class pixel by pixel; the number of clusters usually needs to be fixed a priori by a human analyst...
Nowadays 3D modeling is generally performed using image or range data. Range sensors are getting a quite common source of data for modeling purposes due to their speed and ability to capture millions ...
What image classification does is to assign pixel to a particular land cover and land use type that has the most similar spectral signature. However, there are possibilities that different methods or...
To improve the effect of Lidar data, and utilize the intensity information of Lidar data, according to the character of Lidar data, a new fusion mean filtering algorithm based on the flatness degree o...
During the past decades many computer programs have been developed for solving standardized problems in the field of close-range photogrammetry. Most of these software packages are designed for commo...
This paper introduces the algorithm on SAR image orthorectification based on polynomial rectification and height displacement correction, and experiments according to the algorithm on ERS-2, RADARSAT,...

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