remotely sensed low resolution images
Automated Building Information Extraction and Evaluation from High-resolution Remotely Sensed Data
... stereo images, the accuracy of building rooftop elevations is usually much lower than that of open areas without tall ...stereo images. Secondly, the left and right stereo images are matched ...
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Knowledge-based Feature Extraction and Spectral Image Enhancement from Remotely Sensed Images
... from low reso- lution images; similarly Couloigner and Ranchin [63] took a multi-resolution ap- proach using wavelet transform to find street ...
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VPRS based regional decision fusion of CNN and MRF classifications for very fine resolution remotely sensed images
... VFSR remotely sensed ...global low level feature descriptors like Border/ Interior Pixel Classification when dealing with a remote sensing image that has abundant spectral but lacks spatial ...
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Object Shadow Detection and Removal from Remotely Sensed Images
... spatial resolution satellites like Resource 3, Quick Bird, IKONOS, and GeoEye for the observation of Earth and the speedy development of aerial platforms like unmanned aerial vehicles and ...sensing images ...
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Detection of incomplete enclosures of rectangular shape in remotely sensed images
... aerial images of 0.5m resolution where the width of linear walls does not exceed two ...of low height, which results in low con- trast linear features in the ...their low contrast and ...
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Evaluating Remotely Sensed Images for Use in Inventorying Roadway Infrastructure Features
... of remotely sensed images as a method to facilitate accurate and rapid collection of large quantities of inventory ...data. Images collected from either an airplane or satellite can be ...
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IMPACTS OF SENSOR SPATIAL RESOLUTION ON REMOTE SENSING IMAGE CLASSIFICATION
... High resolution (HR) images are useful in many applications such as remote sensing, video frame freezing, medical diagnostics, and military information gathering, ...HR images in many cases *25+. ...
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Data Descriptor: Remotely sensed high resolution irrigated area mapping in India for 2000 to 2015
... Spatial resolution may be an important factor as a 500 or 250 m pixel is considered fully irrigated if there is partial irrigation in small fields within a ...both images on 241th day, which may be due to ...
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A hybrid OSVM OCNN Method for Crop Classification from Fine Spatial Resolution Remotely Sensed Imagery
... classify images by applying contextual patches as inputs, which often blurs the boundaries between adjacent ground objects, leading to over-smooth classification results ...in remotely sensed ...
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A hybrid OSVM-OCNN method for crop classification from fine spatial resolution remotely sensed imagery
... classify images by applying contextual patches as inputs, which often blurs the boundaries between adjacent ground objects, leading to over-smooth classification results ...in remotely sensed ...
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Enhancement of Image using Fuzzy Inference System for Remotely Sensed Multi Temporal Images
... paper. Images with different variations in the contrast and sizes are taken for the ...the low contrast image is efficiently enhanced using the fuzzy ...
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Anisotropic scaling of remotely sensed drainage basins: the differential anisotropy scaling technique
... Another region chosen was Desolation Canyon, Utah, (Fig. 1b); a selected image is shown in Fig. 2d (UT). The UT group contains 7 images acquired on 19 October. The Green River cuts deeply into this area of the ...
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Slavery from space: demonstrating the role for satellite remote sensing to inform evidence based action related to UN SDG Number 8
... up remotely sensed data and machine learning (Cheng and Han, ...high resolution satellite data from which the features relating to slavery activity, in this case brick kilns, can be ...of ...
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A Novel Method for Homogeneous Region Based Image Segmentation Technique for Remotely Sensed Images
... Dr. S.V.Kasmir Raja etal, analyzed functional performance of region based image segmentation method. They considered two general purpose methods of water shed and mean-shift methods. This paper consists of comparing ...
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A Review of Identification of Flood Location from Remotely Sensed SAR Images of Floods K.Anitha
... satellite images, particularly for operational applications, is mostly restricted to flood extent ...these images in the spatiotemporal characterization of flood ...
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Advances in Scene Classification of Remotely Sensed High Resolution Images and the Existing Datasets
... 4,00,000 images distributed in 46 classes('airport', 'runway', 'bridge', 'parking', 'parking by the road', 'road', 'viaduct', 'port', 'railway station', 'beach', 'lake', 'river', 'bare land', 'desert', 'ice',' ...
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Daily scale wintertime sea surface temperature and IPC-Navidad variability in the southern Bay of Biscay from 1981 to 2010
... SST images that is ...SST images has been shown to be a valuable al- ternative in this ...the images that cannot be re- constructed by means of the DINEOF ...
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Prediction of future hydrological regimes in poorly gauged high altitude basins: the case study of the upper Indus, Pakistan
... cumulation of snow cover at this altitude may be an arti- fact resulting from the choice to extrapolate a power law describing the increase of precipitation, as depicted here by Eq. (1), above 5000 m a.s.l. From the ...
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Land use changes on the Hautere Plains : a study using digital image analysis and geographic information systems : a thesis presented in partial fulfilment of the requirements for the degree of Master of Agricultural Science (M Agr Sc ) in Soil Science at Massey University
... In this study, three major objectives were addressed: a performing image registration of remotely sensed images derived from different sources i.e., scanned aerial photographs and SPOT X[r] ...
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Estimating grassland curing with remotely sensed data
... Apart from ground measurement, DOC can be estimated using satellite remotely sensed data, but it is limited by the satellite sensors’ capability, e.g. spatial resolution and var- ious atmospheric ...
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