Coastal cliffs undergo erosion and weathering more rapidly under the influence of strong waves and sea winds, leading to stability and environmental conservation issues. Ground-based hyperspectral imaging is useful for the identification and geological interpretation of minerals or rocks in vertical outcrops that are difficult to confirm from an aerial view or through in situ investigation for safety reasons. High spatial and spectral resolutions of visible–near infrared (VNIR) sensors can be advantageous for detecting weathering in cliffs made of volcanic rocks; however, their potential is not well known. In this study, two classification techniques, mixture-tuned matched filtering (MTMF) and support vector machine (SVM), were applied to VNIR hyperspectral data of the cliff face of a volcanic island in Dokdo, South Korea, and the classification results were compared. Results show that SVM is superior to MTMF for the classification of volcanic rocks and weathering minerals. The distinction between volcanic rocks with similar compositions and textures deteriorated using both methods. The shading of the surface owing due to unevenness and stratification also affected the accuracy of classification. This study shows that ground-based VNIR hyperspectral image analysis is a powerful and an effective approach to predict possible geomorphological changes and safety on volcanic islands, as it can explore the weathering of sea cliffs and highlight potentially vulnerable locations.

在强浪和海风的影响下，沿海悬崖更快地遭受侵蚀和风化，导致稳定性和环境保护问题。基于地面的高光谱成像可用于对垂直露头中的矿物或岩石进行识别和地质解释，这些矿物或岩石由于安全原因难以从鸟瞰图或现场调查中确认。可见-近红外 (VNIR) 传感器的高空间和光谱分辨率有助于检测火山岩悬崖的风化；然而，它们的潜力并不为人所知。本研究将混合调谐匹配滤波 (MTMF) 和支持向量机 (SVM) 两种分类技术应用于韩国独岛火山岛悬崖面的 VNIR 高光谱数据，并比较分类结果。结果表明，SVM对火山岩和​​风化矿物的分类优于MTMF。使用这两种方法，具有相似成分和质地的火山岩之间的区别会变差。由于不均匀和分层导致的表面阴影也影响了分类的准确性。这项研究表明，基于地面的 VNIR 高光谱图像分析是预测火山岛可能的地貌变化和安全性的一种强大而有效的方法，因为它可以探索海崖的风化并突出潜在的脆弱位置。使用这两种方法，具有相似成分和质地的火山岩之间的区别会变差。由于不均匀和分层导致的表面阴影也影响了分类的准确性。这项研究表明，基于地面的 VNIR 高光谱图像分析是预测火山岛可能的地貌变化和安全性的一种强大而有效的方法，因为它可以探索海崖的风化并突出潜在的脆弱位置。使用这两种方法，具有相似成分和质地的火山岩之间的区别会变差。由于不均匀和分层导致的表面阴影也影响了分类的准确性。这项研究表明，基于地面的 VNIR 高光谱图像分析是预测火山岛可能的地貌变化和安全性的一种强大而有效的方法，因为它可以探索海崖的风化并突出潜在的脆弱位置。