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The main purpose of this study was to assess the effect of ecosystem classification systems at various scales on environmental parameters using remote sensing techniques. The processes included applyi...
Urban areas are complicated due to the mix of man-made features and natural features. A higher level of structural information plays an important role in land cover/use classification of urban areas. ...
The present study addresses the potential of Synthetic Aperture Radar (SAR) data for land cover classification in parts of Dandeli forested regions, Karnataka, India. a FCC has been generated from coh...
This paper represents a study on land-cover classification using different polarimetric SAR features. The experiment is carried out using C- and L-band fully polarimetric EMISAR data acquired on July ...
Thematic mapping is one of the major application fields of remote sensing techniques. Data quality of the thematic data was concerned about. At present, there are a lot of researches that focus on the...
In this paper a novel supervised classification algorithm (AIBN) for remote sensing image classification based on artificial immune B-Cell network is proposed. Even though some effective classifiers h...
1:50000 land cover classification and mapping program is an important part of the mapping project in western China, which is organized by Chinese State Bureau of Surveying and Mapping Organization and...
Marshes are ubiquitous landforms in estuaries and lagoons, where important hydrological, morphological and ecological processes take place. These areas attenuate sea action on the coast and act as se...
Land use information is required for most of the studies as map updating, land use detection, cartography, city planning etc. For that reason, this study aimed to apply a methodology to detect and com...
One of the critical aspects of the curvature based classification of spatial objects from laser point clouds is the correct interpretation of the results. This is due to the fact that measurements ar...
Automatic extraction of building roofs, street and vegetation are a prerequisite for many GIS (Geographic Information System) applications, such as urban planning and 3D building reconstruction. Nowad...
The use of UAV in the application of photogrammetry to obtain cover images and achieve the main objectives of the photogrammetric mapping has been a boom in the region. The images taken from REGGIOLO ...
Feature extraction plays a key role in hyperspectral images classification. Using unlabeled samples, often unlimitedly available, unsupervised and semisupervised feature extraction methods show better...
The best technique to extract information from remotely sensed image is classification. The problem of traditional classification methods is that each pixel is assigned to a single class by presuming ...
The spatial distribution of land cover in the urban area especially 3D objects (buildings and trees) is a fundamental dataset for urban planning, ecological research, disaster management, etc. Accordi...

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