PRINCIPLE COMPONENT ANALYSIS AND FUZZY LOGIC BASED THROUGH WALL IMAGE ENHANCEMENT | Zendy

Muhammad Mohsin Riaz | Zendy; Abdul Ghafoor | Zendy

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PRINCIPLE COMPONENT ANALYSIS AND FUZZY LOGIC BASED THROUGH WALL IMAGE ENHANCEMENT

Author(s) -

Muhammad Mohsin Riaz,

Abdul Ghafoor

Publication year - 2012

Publication title -

electromagnetic waves

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.437

H-Index - 89

eISSN - 1559-8985

pISSN - 1070-4698

DOI - 10.2528/pier12012702

Subject(s) - fuzzy logic , component (thermodynamics) , image (mathematics) , image enhancement , mathematics , artificial intelligence , computer science , physics , thermodynamics

Principle component analysis based through wall image enhancement is proposed which is capable of discriminating target, noise and clutter signals. The overlapping boundaries of clutter, noise and target signals are separated using fuzzy logic. Fuzzy inference engine is used to assign weights to principle components. The proposed scheme works well signiflcantly for extracting multiple targets having difierent range proflles in heavy cluttered through wall images. Simulation results are compared on the basis of mean square error, peak signal to noise ratio and visual inspection.

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