Researching | Research on Landscape Visual Feature Classification Model Based on Keras Deep Learning

Spacecraft Recovery & Remote Sensing, Volume. 46, Issue 1, 109(2025)

Research on Landscape Visual Feature Classification Model Based on Keras Deep Learning

Yantong MA¹ and Yong LUO^1,2、*

Author Affiliations

¹School of Geography & Environmental Economics, Guangdong University of Finance & Economics, Guangzhou 510320, China

²Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China

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References(4)

[1] [1] JAMES S. Lscape Ecology[M]. Boca Raton: Tayl Francis CRC Press, 2010.

[16] GARGEES R S, SCOTT G J. Large-Scale, Multiple Level-of-Detail Change Detectionfrom Remote Sensing Imagery Using Deep Visual Feature Clustering[J]. Remote Sensing, 13, 1661(2021).

[17] MALIK K, ROBERTSON C. Landscape Similarity Analysis Using Texture Encoded Deep-Learning Features on Unclassified Remote Sensing Imagery[J]. Remote Sensing, 13, 492-492(2021).

[24] KAREEM R S A, RAMANJINEYULU A G, RAJAN R et al. Multilabel Land Cover Aerial Image Classification Using Convolutional Neural Networks[J]. Arabian Journal of Geosciences, 14, 1681(2021).

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Yantong MA, Yong LUO. Research on Landscape Visual Feature Classification Model Based on Keras Deep Learning[J]. Spacecraft Recovery & Remote Sensing, 2025, 46(1): 109

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Received: Aug. 15, 2024

Accepted: --

Published Online: Apr. 2, 2025

The Author Email: Yong LUO (yongluo_geo@163.com)

DOI:10.3969/j.issn.1009-8518.2025.01.010

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