IDA: Improving Distribution Analysis for Reducing Data Complexity and Dimensionality in Hyperspectral Images

Dalal AL-Alimi,Mohammed A. Al-qaness,Zhihua Cai,Eman Ahmed Alawamy

Pattern recognition（2023）

引用 6|浏览23

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摘要

•A noverl feature extraction method to reduce HSI dimensions, called IDA is proposed.•IDA is applied to improve data correlation and distribution and classes variance.•Study the impact of feature extraction and preproccesing on the HSI classification.•Using different datasets with well-known exisiting methods to test the IDA.

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关键词

Feature reduction,Hyperspectral image,Classification,Feature fusion,Feature extraction,Dimensionality reduction

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