نتایج جستجو برای: areal photos and satellite images
تعداد نتایج: 16868780 فیلتر نتایج به سال:
17 Abstract—This study outlines a method for generating an 18 automated micro-landform map of an alluvial plain for 19 further flood hazard assessment by combining Shuttle Radar 20 Topographic Mission Digital Elevation Model (SRTM DEM) 21 and satellite images. Average elevation and channel features 22 extracted from DEM are associated with soil moist condition 23 (thresholds of Modified Normali...
Due to the effect of aerosols present in the atmosphere on the satellite images, the study of the effect of local aerosols distribution on the satellite images is important. On the other hand, the study shows that the effect of aerosols on the greenhouse gases and consequently on climate is also undeniable and as a result, this puts more emphasize on the necessity of this study. Lack of informa...
one of the most important information in urban forestry is acquaintance of urban landscape’s area or proportion. nowadays, in several countries variable methods are used to achieve this aim. since there is not any complete method to study urban forest’s status in iran, it is impossible to exert authentic management for these resources. hence, in this research, sampling methods and ikonos satell...
the major aim of processing satellite images is to prepare topical and effectivemaps. the selection of appropriate classification methods plays an important role. amongvarious methods existing for image classification, artificial neural network method is ofhigh accuracy. in present study, tm images of 1987, and etm+ images of 2000 and 2006were analyzed using artificial fuzzy artmap neural netwo...
snow cover area is one of the most important criteria to calculate snow melt runoff. this can have an effect on the biology of the plant and the environment of a region. using the catchment basin physical characteristic to calculate snow cover area is a conventional method, though its accuracy is not good enough. most of the useful methods in calculating snow cover area are based on satellite i...
Land use change is one of the most important factors of global environmental change. So, understanding and predicting the causes, processes and consequences of land use and land cover has become a major challenge. The Remote Sensing and Geographic Information System (GIS) technologies can be used effectively to detect and quantify of land use changes and its effects on the environment. The pur...
With GIS technology for Web-enabled vector and meta data access becoming mature, the next quest is towards fast, flexible services on extremely large raster data assets. Currently 2-D images (satellite imagery, ortho photos) prevail, but at the horizon higher-dimensional objects appear, such as 3-D time satellite image time series and seismic data, and 4-D climate simulations. At the same time,...
Given a large photo collection without domain knowledge (e.g., tourism photos, conference photos, event photos, images wrapped from webpages), it is not easy for human beings to organize or only view them within a reasonable time. In this paper, we propose to automatically extract meaningful semantics from a photo collection named “dimensions” to help people view, search and organize photos con...
Monitoring of snow and ice on the Earth's surface will require increasing use of satellite remote sensing techniques. These techniques are evolving rapidly. Active and passive sensors operating in the visible, near infrared, thermal infrared, and microwave wavelengths are described in regard to general applications and in regard to specific USA or USSR satellites. Meteorological satellites (fre...
As digital photography rapidly replacing the traditional film photography as the photography of choice for all but a few devoted professionals, post image processing of natural color photos such as denoising becomes increasingly an integral part of digital photography. Although many denoising schemes have been designed, almost none specifically target natural color photos. Noise in natural colo...
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