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Results for “"Ayasha Siddiqa"”

4 results

An efficient filtering based approach improving LSB image steganography using status bit along with AES cryptography

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Md. Rashedul Islam, Ayasha Siddiqa, Md Palash Uddin, Ashis Kumar Mandal et al.

Year: 2014Citations: 91

In Steganography, the total message will be invisible into a cover media such as text, audio, video, and image in which attackers don't have any idea about the original message that the media contain and which algorithm use to embed or extract it. In this paper, the proposed technique has focused on...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Hyperspectral Image Classification via Information Theoretic Dimension Reduction

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Md. Rashedul Islam, Ayasha Siddiqa, Masud Ibn Afjal, Md Palash Uddin et al.

Journal: Remote SensingYear: 2023Citations: 25

Hyperspectral images (HSIs) are one of the most successfully used tools for precisely and potentially detecting key ground surfaces, vegetation, and minerals. HSIs contain a large amount of information about the ground scene; therefore, object classification becomes the most difficult task for such ...

Physical SciencesEngineeringMedia TechnologyOpen Access
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Spectral segmentation based dimension reduction for hyperspectral image classification

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Ayasha Siddiqa, Md. Rashedul Islam, Masud Ibn Afjal

Journal: Journal of Spatial ScienceYear: 2022Citations: 23

Hyperspectral images (HSI) contain a wide range of information, the most prominent technology for observing the earth. However, using an original HSI high-dimensional datacube, the classification task faces significant challenges since it has a high computational cost. As a result, dimensionality re...

Physical SciencesEngineeringMedia TechnologyOpen Access
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An Efficient Dimensionality Reduction Method for the Classification of Satellite Remote Sensing Hyperspectral Images

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Md. Rashedul Islam, Ayasha Siddiqa, Nafisa Tasnim

Journal: International Journal of Computer ApplicationsYear: 2021

Finding an informative subset of features from the original hyperspectral images has become essential because of its wide applications in ground object identification. However, information extraction from hyperspectral images is becoming challenging because of its high correlation among the image ba...

Physical SciencesEngineeringMedia TechnologyOpen Access
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