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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...
Heavy metal stress will induce the change of the bio-parameters like chlorophyll, nitrogen and water content of rice. In this paper, we analyzed the traditional spectral index which has strong relatio...
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...
The use of GPS and Inertial Navigation Systems in combination with topographic sensors are discussed. Topographic data are acquired using scanning laser range finders and high-resolution digital camer...
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...
Recent developments in the utilisation of close range laser scanning (lidar) in geology have seen the increased use of virtual outcrop data. The remote mapping of rock properties within the virtual ou...
Effective and understanding exploration of hyperspectral remote sensing data necessitates the development of sophisticated schemes that represent images. Such schemes ideally preserve and recognize si...
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...
High-resolution remote sensing images accelerate the development of information extraction and 3D city reconstruction. This paper concentrates on object-oriented methods to solve building extraction p...

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