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International Journal of Remote Sensing Volume 42, 2021 - Issue 13
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Research Article

Combined particle swarm optimization and modified bilinear model (PSO-MBM) algorithm for nonlinearity detection and spectral unmixing of satellite imageries

Niranjani KothandaramanDepartment of Information Science and Technology, College of Engineering Anna University, Chennai, IndiaCorrespondence[email protected] [email protected]
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Vani KaliaperumalDepartment of Information Science and Technology, College of Engineering Anna University, Chennai, IndiaView further author information
Pages 5190-5209 | Received 13 Feb 2020, Accepted 16 Dec 2020, Published online: 13 Apr 2021

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Huangying Zhang & Bin Yang. (2024) Geometrical projection improved multi-objective particle swarm optimization for unsupervised nonlinear hyperspectral unmixing. International Journal of Remote Sensing 45:6, pages 1850-1883.
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Articles from other publishers (2)

Huimin Lu, Ying Li & Bingxin Liu. (2023) Energy-Based Unmixing Method for Low Background Concentration Oil Spills at Sea. Remote Sensing 15:8, pages 2079.
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Yongli Zou & Yule Hu. (2021) Prediction of drilling rate of penetration (ROP) based on PSO-SVR algorithm. Prediction of drilling rate of penetration (ROP) based on PSO-SVR algorithm.

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