نتایج جستجو برای: land use classification
تعداد نتایج: 2222136 فیلتر نتایج به سال:
Remote sensing technology is one of the most efficient and innovative technologies for agricultural land use/cover mapping. In this regard, the object-based Image Analysis (OBIA) is known as a new method of satellite image processing which integrates spatial and spectral information for satellite image process. This approach make use of spectral, environmental, physical and geometrical characte...
Land use change may influence many natural phenomena and ecological processes, including runoff, soil erosion, sedimentation and soil conditions. Decreasing of forest area in the North of Iran is one of the critical problems in recent years. The aims of this study are to detect land use changes between 1967 to 2002 using satellite images of Land Sat 7 ETM (2002), aerial photos and digital topog...
O b method of incorpora ification accuracy a s la sion). The proposed approach mainly contains three parts: segmentation supported by land-use thematic layer, classification and change detection supported by land-use change rules. The experiment result shows that the proposed procedures have good potential for automatic land use mapping.
Research efforts in land-use scene classification is growing alongside the popular use of High-Resolution Satellite (HRS) images. The complex background and multiple land-cover classes or objects, however, make the classification tasks difficult and challenging. This article presents a Multiscale Deeply Described Correlatons (MDDC)-based algorithm which incorporates appearance and spatial infor...
The main purpose of this paper is to explain the factors affecting the change of service land uses in the city of Shiraz and identify its reasons. For this purpose, the second-order confirmatory factor analysis technique has been used as one of the structural equation modeling techniques to determine the severity of the effect of the four factors on land use change, through which a contributing...
Urban land cover classification using remote sensing data is quite challenging due to spectrally and spatially complex urban features. The present study describes the potential use of hyperspectral data for urban land cover classification and its comparison with multispectral data. EO-1 Hyperion data of October 05, 2012 covering parts of Bengaluru city was analyzed for land cover classification...
Many environmental data are inherently imbalanced, with some majority land use and land cover types dominating over rare ones. In cultivated ecosystems minority classes are often the target as they might indicate a beginning land use change. Most standard classifiers perform best on a balanced distribution of classes, and fail to detect minority classes. We used the synthetic minority oversampl...
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