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Remote sensing automatic interpretation symbol (RSAIS) is an inexpensive and fast method in providing precise in-situ information for image interpretation and accuracy. This study designed a scientifi...
In this paper we present an approach for semantic interpretation of facade images based on a Convolutional Network. Our network processes the input images in a fully convolutional way and generates pi...
Millions of people of all ages and expertise are using satellite and aerial data as an important input for their work in many different fields. Satellite data are also gradually finding a new place in...
This paper presents a knowledge-based method for automatic road extraction from aerial images. The method uses a hybrid control strategy in which hypotheses of roads are generated in a bottom-up proce...
Due to the increasing number of digital remote sensing data taken by aeroplane and satellite which are used for the updating of maps and the environmental or agricultural monitoring, there is a need t...
As the improvement of the theory of remote sensing imagery interpretation, the method of it goes from manual interpretation to semi-automatic and then to the intelligent interpretation. The land use u...
Tropical forest cover is changing in many parts of the World and got attention to the global community since it is one of the main drivers of climate change. Microwave sensor data is useful to monitor...
Digital image processing has the ability to detect geological linear features on the image by using some algorithms. The most common algorithm which is used for this purpose is edge filtering. Gradien...
Photogrammetric 3D object reconstruction can be obtained from images or laser scanner data. Because of their complementary characteristics, these data are suitable for a combined interpretation. In t...
The level of urbanism is an important parameter to measure a country’s civilization degree, so it is important to make a reasonable planning for the city. The primary stage of making an urban planning...
This article presents a hybrid method that combines image segmentation, GIS analysis, and visual interpretation in order to detect discrepancies between an existing land use/cover map and satellite im...
Land cover mapping in most cases results in thematic maps which are in general not a perfect representation of the reality. They always contain errors due to the method used for its production or simp...
In this paper we propose to link Markov Chain Monte Carlo – MCMC in the spirit of (Dick, Torr, and Cipolla, 2004) with information from Implicit Shape Models – ISM (Leibe and Schiele, 2004) and with P...
Orthophotomaps obtained from satellite images are one of the basic products used by geousers. The paper describes in detail the whole process of orthorectification and triangulation of satellite imag...

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