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MLM-LSTM: multi-layer memory learning framework based on LSTM for hyperspectral change detection.

Li, Yinhe; Yan, Yijun; Ren, Jinchang; Liu, Qiaoyuan; Sun, Haijiang


Yijun Yan

Qiaoyuan Liu

Haijiang Sun


Amir Hussain

Iman Yi Liao

Rongjun Chen

Kaizhu Huang

Huimin Zhao

Xiaoyong Liu

Thomas Maul


Hyperspectral change detection plays a critical role in remote sensing by leveraging spectral and spatial information for accurate land cover variation identification. Long short-term memory (LSTM) has demonstrated its effectiveness in capturing dependencies and handling long sequences in hyperspectral data. Building on these strengths, a multilayer memory learning model based on LSTM for hyperspectral change detection is proposed, called MLM-LSTM for hyperspectral change detection is proposed. It incorporates shallow memory learning and deep memory learning. The deep memory learning module performs deep feature extraction of long-term and short-term memory separately. Then fully connected layers will be used to fuse the features followed by binary classification for change detection. Notably, our model has higher detection accuracy compared to other state-of-the-art deep learning-based models. Through comprehensive experiments on publicly available datasets, we have successfully validated the effectiveness and efficiency of the proposed MLM-LSTM approach.


LI, Y., YAN, Y. and REN, C., LIU, Q. and SUN, H. 2024. MLM-LSTM: multi-layer memory learning framework based on LSTM for hyperspectral change detection. In: Ren, J., Hussain, A., Liao, I.Y. et al. (eds.) Advances in brain inspired cognitive systems: proceedings of the 13th Brain-inspired cognitive systems 2023 (BICS 2023), 5-6 August 2023, Kuala Lumpur, Malaysia. Lecture notes in computer sciences, 14374. Cham: Springer [online], pages 51-61. Available from:

Conference Name 13th Brain-inspired cognitive systems international conference 2023 (BICS 2023)
Conference Location Kuala Lumpur, Malaysia
Start Date Aug 5, 2023
End Date Aug 6, 2023
Acceptance Date Jul 28, 2023
Online Publication Date May 22, 2024
Publication Date Dec 31, 2024
Deposit Date Jun 13, 2024
Publicly Available Date May 23, 2025
Publisher Springer
Pages 51-61
Series Title Lecture notes in computer science (LNCS)
Series Number 14374
Series ISSN 0302-9743; 1611-3349
Book Title Advances in brain inspired cognitive systems
ISBN 9789819714162
Keywords Hyperspectral image; Change detection; Long short-term memory
Public URL