remotely sensed images
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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Super resolution target identification from remotely sensed images using a Hopfield neural network
... from remotely sensed imagery. Within remotely sensed images, a significant proportion of pixels is often of mixed land cover class composi- tion, and their presence can adversely affect ...
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Generating a series of fine spatial and temporal resolution land cover maps by fusing coarse spatial resolution remotely sensed images and fine spatial resolution land cover maps
... coarse spatial resolution remotely sensed images and a few fine spatial resolution land cover maps in.. 3 Input and result maps for the entire study area in the Landsat–NLCD experiment..[r] ...
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Unsupervised classification of saturated areas using a time series of remotely sensed images
... Abstract. The spatial distribution of saturated areas is an important consideration in numerous applications, such as water resource planning or siting of management practices. However, in humid well vegetated climates ...
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Simulation Approaches for Burn Severity Estimation Using Remotely Sensed Images
... representative. Remotely sensed images have been used as an alternative because they provide a spatial comprehensive view, are cost-effi cient, and provide up to date information on landscape ...
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A Novel ANFIS Net for Classifying features from Remotely Sensed Images
... The integration of remote sensing techniques and connectionist models for the prediction of fishing banks is presented [8], [9]. Extraction of land-cover map information from multispectral or hyperspectral ...
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Detection of incomplete enclosures of rectangular shape in remotely sensed images
... We develop an approach for detection of ruins of live- stock enclosures in alpine areas captured by high-resolution remotely sensed images. These structures are usually of approximately rectangular ...
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Road Segmentation on Remotely-Sensed Images Using Deep Convolutional Neural Networks with Landscape Metrics and Conditional Random Fields
... on remotely-sensed images: aerial (or very high resolution, VHS) images and satellite (or high resolution, HR) images, has been applied to many application domains, especially road ...
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Object Shadow Detection and Removal from Remotely Sensed Images
... sensing images, we put forward an object shadow detection and removal method from remotely sensed ...the images, suspected shadows are ...
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The nature and acquisition of expert knowledge to be used in spatial expert systems for classifying remotely sensed images
... and Crowther, P., 1994, Per Pixel Reasoning Using a GIS Closely Coupled to an Expert System to Produce Surface Classifications Based on Remotely Sensed Data and Expert Knowledge, Proceed[r] ...
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A Novel Method for Homogeneous Region Based Image Segmentation Technique for Remotely Sensed Images
... These images extracts information about water cover and land use ...Coastal images can provide data for assessment and analysis of shoreline changes, salinity, hydrology, natural hazards, coastal erosion, ...
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VPRS based regional decision fusion of CNN and MRF classifications for very fine resolution remotely sensed images
... Figs. 5 and 6 demonstrate visual comparisons of the five classification results using three subset images at each study site (S1 and S2). For the Concrete roof class, from the upper right of Fig. 5(a), it is clear ...
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Knowledge-based Feature Extraction and Spectral Image Enhancement from Remotely Sensed Images
... these images contain a certain amount of noise; in addition small objects in the images such as cars can also be considered as clutter for this ...smoothens images while pre- serving important edges ...
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Spatial temporal fraction map fusion with multi scale remotely sensed images
... a Land cover map generated by labeling the resultant fraction maps of STFMF at per-pixel scale; b 30 m Landsat OLI image; c FR land cover map generated by the combination of STFMF and SR[r] ...
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Fast Registration of Remotely Sensed Images for Earthquake Damage Estimation
... transferred images shown in Figure ...registered images in the red- and green-color chan- nels of an image and have filled the blue-color channel with a value of ...
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Performance Analysis of K Means Clustering For Remotely Sensed Images
... In the classification process images are taken and processed to identify the changes that may have taken place. The output is the accurate classified image, indicating the different features .Two types of ...
5
Anisotropic scaling of remotely sensed drainage basins: the differential anisotropy scaling technique
... all remotely sensed images was done using the P (k) contours as described ...CL images. The differential anisotropy present in both images is exhibited by ζ 1 with opposite signs ...
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Landuse changes over 21 years and impact on groundwater aquifer in and around Cox's Bazar town, Bangladesh
... Archived remotely sensed images of Landsat 4 & 5 TM during the period of 1989-2010 and QuickBard QB1 of 2011 were interpreted using ERDAS Imagine image processing software along with ArcGIS ...
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Advances in Scene Classification of Remotely Sensed High Resolution Images and the Existing Datasets
... of remotely sensed images has shown a significant improvement in the recent years as it is used in various applications such as urban planning, urban mapping, management of natural resources, ...
5
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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