AUTHOR=Xia Wanlu , Zhang Wen , Wu Sen 

TITLE=Classification algorithm for land use in the giant panda habitat of Jiajinshan based on spatial case-based reasoning

JOURNAL=Frontiers in Environmental Science

VOLUME=Volume 12 - 2024

YEAR=2024

URL=https://www.frontiersin.org/journals/environmental-science/articles/10.3389/fenvs.2024.1298327

DOI=10.3389/fenvs.2024.1298327

ISSN=2296-665X

ABSTRACT=The Jiajin Mountain, where the giant pandas reside, is an essential nature reserve in China. To comprehend the land use classification of the habitat, this article proposes a remote sensing interpretation algorithm based on spatial case reasoning, and is named Spatial Case-Based Reasoning (SCBR). The algorithm incorporates specific spatial factors into its framework，and doesn't require an extensive amount of domain knowledge and eliminates the need for a complex model training process, making it capable of completing land-use classification in the study area. SCBR comprises a spatial case expression model and a spatial case similarity reasoning model. The paper conducted comparative experiments between the proposed algorithm and SVM, Unet, ViT, Trans-Unet, and the results demonstrate that spatial case-based reasoning produces superior classification outcomes. The land use classification experiment based on spatial case-based reasoning at the Jiajinshan Giant panda habitat produced satisfactory experimental results. In the comparative experiments, the overall accuracy of SCBR classification reached 95%, and the Kappa coefficient reached 90%. The paper further analyzed the changes in land use classification from 2018 to 2022, and the average accuracy consistently exceeds 80%. We discovered that the ecological environment in the region where the giant pandas reside has experienced significant improvement, particularly in forest protection and restoration. This study provides a theoretical basis for the ecological environment protection of the area.