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Remote Sensing Image

REVIEW OF REMOTE SENSING IMAGE SEGMENTATION TECHNIQUES

REVIEW OF REMOTE SENSING IMAGE SEGMENTATION TECHNIQUES

... correctness Dynamic Statistical Region Merging (DSRM) is introduced. It tries to let probably the most similar regions to be tested first. Initially, it redefines the dissimilarity based-on regions. Then, it dynamically ...

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Remote Sensing Image Registration Using Multiple Image Features

Remote Sensing Image Registration Using Multiple Image Features

... local image descriptors, to improve distinctiveness while maintaining robustness is the main concern ...in remote sensing image registration ...rotation, image blur, jpeg compression, ...

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A novel optimal medium resolution remote sensing image classification using Neuro fuzzy approach

A novel optimal medium resolution remote sensing image classification using Neuro fuzzy approach

... technology, remote sensing data is becoming richer, how to extract meaningful surface information from the emote sensing data has become a problem pressed for ...of remote sensing are ...

5

Batch Processing of Remote Sensing Image Mosaic based on Python

Batch Processing of Remote Sensing Image Mosaic based on Python

... of remote sensing image processing, analysis and interpretation, it is usually necessary to combine several local images into a complete ...of remote sens- ing images is ...the image ...

9

Remote Sensing Image Matching using Sift And Affine Transformation

Remote Sensing Image Matching using Sift And Affine Transformation

... Remote sensing applications is one of the fields where further research on AIR is ...of remote sensing applications, one of the major problems is related to the radiometric content (due to ...

6

High order balanced M band multiwavelet packet transform based remote sensing image denoising

High order balanced M band multiwavelet packet transform based remote sensing image denoising

... denoising remote sensing ...The remote sensing image denoising method based on this transform scheme is then described, and its utility is demonstrated by illustrative results of its ...

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IMPACTS OF SENSOR SPATIAL RESOLUTION ON REMOTE SENSING IMAGE CLASSIFICATION

IMPACTS OF SENSOR SPATIAL RESOLUTION ON REMOTE SENSING IMAGE CLASSIFICATION

... of remote-sensing imagery, mixed pixels are common in medium and coarse spatial resolution data *20+, ...words, remote sensing image contains a mix of pure and mixed ...the image ...

6

Research on Remote Sensing Image Fusion Based on Compressive Sensing Algorithm

Research on Remote Sensing Image Fusion Based on Compressive Sensing Algorithm

... GF-1 is a high resolution satellite launched by China. The PMS sensor of GF-1 provides a panchromatic band with 2m spatial resolution and four multispectral bands with 8m spectral resolution. In this paper, we choose ...

8

Remote Sensing Image Segmentation using OTSU Algorithm

Remote Sensing Image Segmentation using OTSU Algorithm

... an image into groups of pixels[1-2] which are homogeneous with respect to some criterion is called image ...an image is the main objective of image ...in image analysis and pattern ...

5

Deep Learning-Based Classification of Remote Sensing Image

Deep Learning-Based Classification of Remote Sensing Image

... Abstract: Deep Learning networks have sharply increased over the past 10 years, and deep Learning-Based Classification of Remote Sensing Image has attracted extensive interest. We trained a ...

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A Content-Based Remote Sensing Image Change Information Retrieval Model

A Content-Based Remote Sensing Image Change Information Retrieval Model

... content-based image retrieval (CBIR) is a major advance that aims to search images using visual features that are similar to those of the query image submitted by the ...the image consisting of ...

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Spectral Angle Mapper Algorithm For Remote Sensing Image Classification

Spectral Angle Mapper Algorithm For Remote Sensing Image Classification

... clouds. Image classification is one of the methods of thematic information ...Hyperspectral Image is performed using the Spectral Angle Mapper Algorithm which is a supervised ...for remote ...

5

A Fast Method for Haze removal In Remote Sensing Image By Using Guided Filter

A Fast Method for Haze removal In Remote Sensing Image By Using Guided Filter

... satellite remote sensing images using Guided ...an image generally lost color and ...whole image plane and are situated at various separations from the ...reconstructed image is usually ...

7

Hadoop Mapreduce for Remote Sensing Image Analysis

Hadoop Mapreduce for Remote Sensing Image Analysis

... eight image analysis algorithms were used: Sobel filtering, image resizing, image format conversion, auto contrasting, image sharpening, picture embedding, text embedding, and image ...

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Content Based Image Retrieval for Remote Sensing Images

Content Based Image Retrieval for Remote Sensing Images

... Remote sensing image is a representation of part of the earth ...The Remote sensing images is near the truth value of earth ...Hence, remote sensing images are widely used ...

10

Accuracy Analysis on the Automatic Registration of Multi Source Remote Sensing Images Based on the Software of ERDAS Imagine

Accuracy Analysis on the Automatic Registration of Multi Source Remote Sensing Images Based on the Software of ERDAS Imagine

... the remote sensing ...the image fine registra- tion ...multi-source remote sensing image ...special remote sensing Image automatic registration ...

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Identification of Hydrothermal Alteration Minerals

Identification of Hydrothermal Alteration Minerals

... remote sensing image classification technology [ 48 – 52 ], was trained using alteration sample data by. 153[r] ...

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An Efficient Active and Passive Security Protection Method for Images

An Efficient Active and Passive Security Protection Method for Images

... the remote sensing images, this method provides only one kind of security protection at a ...encrypted remote sensing image doesn't bear the watermark and the watermarked image ...

7

Radiometrically Accurate Thermal Vehicle Targets for Synthetic Video Development

Radiometrically Accurate Thermal Vehicle Targets for Synthetic Video Development

... infrared image and video data sets is an expen- sive time consuming ...collecting image and video data with real camera ...Digital Image and Remote Sensing Image Generation ...

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Nonlocal tensor sparse representation and low-rank regularization for hyperspectral image compressive sensing reconstruction

Nonlocal tensor sparse representation and low-rank regularization for hyperspectral image compressive sensing reconstruction

... compressive sensing (CS) [11–13] theory offers a brand-new field for HSI acquisition or compression, which only needs to capture a small number of incoherent measurements in the imaging ...

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