New trends in satellite data classification to analyze land use. Image classification is the process of assigning land cover classes to pixels. In general, there are three main image classification techniques in remote sensing. The most commonly used are Unsupervised Classification and Supervised Classification techniques, however the Object-Based classification has recently achieved a strong use as useful for high resolution data
In many publications the performance of different classification algorithms regarding to agricultura...
28th European-Association-of-Remote-Sensing-Laboratories (EARSeL) Symposium and Workshops on Remote ...
In many publications the performance of different classification algorithms regarding to agricultura...
Information about the types of land cover and its use is obtained by the visual interpretation of th...
L'articolo è disponibile sul sito dell'editore www.sisef.itThis work aims to assess the potential of...
Sustainable management of natural resources requires constant and detailed monitoring of various as...
Land cover classification of Landsat images is one of the most important applications developed from...
Abstract—The importance of mapping of land use and land cover is highlighted in this paper. The pape...
Abstract Classification is the technique by which real world objectsland covers are identified withi...
The definition of conventional land cover categories (legend) is usually formulated by statements wh...
The land cover/use databases are digital maps that provide the basic information for knowing and man...
This paper describes a change detection approach based on an object-based classification of remote s...
Land cover exerts a great influence on many basic environmental processes and consequently any trans...
When talking about land cover, we need to find a proper way to extract information from aerial or sa...
The new high-resolution images from the satellites as IKONOS, SPOT5, Quickbird2 give us the opportun...
In many publications the performance of different classification algorithms regarding to agricultura...
28th European-Association-of-Remote-Sensing-Laboratories (EARSeL) Symposium and Workshops on Remote ...
In many publications the performance of different classification algorithms regarding to agricultura...
Information about the types of land cover and its use is obtained by the visual interpretation of th...
L'articolo è disponibile sul sito dell'editore www.sisef.itThis work aims to assess the potential of...
Sustainable management of natural resources requires constant and detailed monitoring of various as...
Land cover classification of Landsat images is one of the most important applications developed from...
Abstract—The importance of mapping of land use and land cover is highlighted in this paper. The pape...
Abstract Classification is the technique by which real world objectsland covers are identified withi...
The definition of conventional land cover categories (legend) is usually formulated by statements wh...
The land cover/use databases are digital maps that provide the basic information for knowing and man...
This paper describes a change detection approach based on an object-based classification of remote s...
Land cover exerts a great influence on many basic environmental processes and consequently any trans...
When talking about land cover, we need to find a proper way to extract information from aerial or sa...
The new high-resolution images from the satellites as IKONOS, SPOT5, Quickbird2 give us the opportun...
In many publications the performance of different classification algorithms regarding to agricultura...
28th European-Association-of-Remote-Sensing-Laboratories (EARSeL) Symposium and Workshops on Remote ...
In many publications the performance of different classification algorithms regarding to agricultura...