[PDF] Top 20 Enhancement of Image using Fuzzy Inference System for Remotely Sensed Multi Temporal Images

Enhancement of Image using Fuzzy Inference System for Remotely Sensed Multi Temporal Images

... an image, which transforms the image from a pixel plane to a fuzzy plane is called ...the Fuzzy collections having membership functions which are unique scenarios and the characteristic ... See full document

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Image Enhancement using Hybrid Fuzzy Inference System (IEHFS)

... IMAGE ENHANCEMENT USING HYBRID FUZZY INFERENCE SYSTEM IEHFS Fuzzy inference maps the given input to the desired output using fuzzy logic by using membership functions, logical.. No Take [r] ... See full document

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Image Enhancement Using Adaptive Neuro-Fuzzy Inference System

... during image acquisition and transmission over communication ...and enhancement are essential features in digital image ...subsequent image processing tasks are strictly dependent on the ... See full document

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A sugeno and tsukamoto fuzzy inference system for denoising medical images

... of images. The major appliances of image improvement are Aerial imaging, Satellite imaging, Medical imaging, Digital camera application and in remote ...sensing. Image improvement techniques used in ... See full document

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Fast Registration of Remotely Sensed Images for Earthquake Damage Estimation

... in image processing with primary emphasis on object-based video compression, content-based image retrieval, video restoration, motion estimation, virtual studios, fingerprint authentication \ ... See full document

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A Novel ANFIS Net for Classifying features from Remotely Sensed Images

... neuro- fuzzy inference system (ANFIS) net that is designed to classify dust, clouds, water and vegetation features from remotely sensed ...This system can reestablish the ... See full document

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Multi scale entropy based adaptive fuzzy contrast image enhancement for crowd images

... the image enhancement field, fuzzy set theory has been widely utilized by many researchers [9, ...contrast. Using fuzzy methods in some cases does not perform as desired and in these ... See full document

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Object Shadow Detection and Removal from Remotely Sensed Images

... aerial image is first transformed into the hue, saturation, and intensity (HSI) color model, after that segmentation process is applied to the saturation component and the intensity component to identify shadows ... See full document

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Investigating the Temporal and Spatial Distribution of Phragmites in River Canard using Remotely Sensed Imagery

... While NDVI could be applied in vegetation modelling, there are many external influences that can yield incorrect values due to soil colour and moisture variation, atmospheric conditions, and dead organic matter presence ... See full document

132

Performance Analysis of K Means Clustering For Remotely Sensed Images

... difference image is generated by the pixel by pixel comparison of the multitemporal input ...optical images, the subtraction operator is used to generate the difference ...difference image is ... See full document

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Global biosphere–climate interaction: a causal appraisal of observations and models over multiple temporal scales

... Earth System (HadGEM2-ES; Collins et ...Earth System Model 1 – Medium Res- olution (NorESM1-M; Bentsen et ...Climate System Model 4 (CCSM4; Gent et ...climate. Using the historical input ... See full document

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Bi orthogonal Wavelet based Adaptive Image Watermarking using Human Visual System and Fuzzy Inference System

... of image watermarking comprises aspect of altering the pixel values of an image in a manner so that there is only a slight difference between original image and watermarked image ...host ... See full document

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Improving Quality of Satellite Image by Wavelet Transforming & Morphological Filtering

... edge enhancement has been focused mostly on improving the visual perception of images that are unclear because of ...enhanced image, preserving the edges is ...numerous image processing ... See full document

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Evaluating Remotely Sensed Images for Use in Inventorying Roadway Infrastructure Features

... satellite images, “raw” digital images can be practically obtained from a commercial vendor for approximately $100 per linear ...points using GPS exceed the costs of imagery, while collection of ... See full document

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Application of Remote Sensing and Geographical Information Systems in Determining the Groundwater Potential in the Crystalline Basement of Bulawayo Metropolitan Area, Zimbabwe

... from remotely sensed data, topographic, geologi- cal inference and structural data; prepare thematic maps of the area such as lithology, lineaments, drainage den- sity, slope and land use/land cover ... See full document

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Image Enhancement Using Spatial Domain Techniques and Fuzzy Intensification Factor

... Image enhancement is the processing images to increase their ...When images are enhanced for human viewers, as in television, the objective may be to improve perceptual aspects: image ... See full document

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Remotely Sensed Image Segmentation using Multiphase Level Set ACM

... sensing image analysis, segmentation of an image is an important ...the image. Image Segmentation is helpful in analyzing the patterns, objects, and edges within an ...performing image ... See full document

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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] ... See full document

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Determining temporal and spatial variabilities of biological production in sulu sea using multi-remotely sensed data

... the temporal and spatial variation of the chlorophyll-a concentration over the past 13 years of Sea-viewing Wide Field-of-view Sensor (SeaWiFS) mission in the Sulu Sea ... See full document

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Fuzzy Inference System for Edge Detection in Flat Electroencephalography Image

... output image by applying fuzzy inference ...Since image processing is problem oriented, the results may be different for different types of images and ... See full document

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