EVALUATION OF DEEP LEARNING SEMANTIC SEGMENTATION FOR LAND COVER MAPPING ON MULTISPECTRAL, HYPERSPECTRAL AND HIGH SPATIAL AERIAL IMAGERY

Ilham Adi Panuntun, Ying Nong Chen, Ilham Jamaluddin, Thi Linh Chi Tran

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

In the rise of climate change, land cover mapping has become such an urgent need in environmental monitoring. The accuracy of land cover classification has gotten increasingly based on the improvement of remote sensing data. Land cover classification using satellite imageries has been explored and become more prevalent in recent years, but the methodologies remain some drawbacks of subjective and time-consuming. Some deep learning techniques have been utilized to overcome these limitations. However, most studies implemented just one image type to evaluate algorithms for land cover mapping. Therefore, our study conducted deep learning semantic segmentation in multispectral, hyperspectral, and high spatial aerial image datasets for landcover mapping. This research implemented a semantic segmentation method such as Unet, Linknet, FPN, and PSPnet for categorizing vegetation, water, and others (i.e., soil and impervious surface). The LinkNet model obtained high accuracy in IoU (Intersection Over Union) at 0.92 in all datasets, which is comparable with other mentioned techniques. In evaluation with different image types, the multispectral images showed higher performance with the IoU, and F1-score are 0.993 and 0.997, respectively. Our outcome highlighted the efficiency and broad applicability of LinkNet and multispectral image on land cover classification. This research contributes to establishing an approach on landcover segmentation via open source for long-term future application.

原文???core.languages.en_GB???
主出版物標題44th Asian Conference on Remote Sensing, ACRS 2023
發行者Asian Association on Remote Sensing
ISBN(電子)9781713893646
出版狀態已出版 - 2023
事件44th Asian Conference on Remote Sensing, ACRS 2023 - Taipei, Taiwan
持續時間: 30 10月 20233 11月 2023

出版系列

名字44th Asian Conference on Remote Sensing, ACRS 2023

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???44th Asian Conference on Remote Sensing, ACRS 2023
國家/地區Taiwan
城市Taipei
期間30/10/233/11/23

指紋

深入研究「EVALUATION OF DEEP LEARNING SEMANTIC SEGMENTATION FOR LAND COVER MAPPING ON MULTISPECTRAL, HYPERSPECTRAL AND HIGH SPATIAL AERIAL IMAGERY」主題。共同形成了獨特的指紋。

引用此