Enhance the Accuracy of Landslide Detection in UAV Images Using an Improved Mask R-CNN Model: A Case Study of Sanming, China

Extracting high-accuracy landslide areas using deep learning methods from high spatial resolution remote sensing images is a hot topic in current research. However, the existing deep learning algorithms are affected by background noise and landslide scale effects during the extraction process, leadi...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Lu Yun, Xinxin Zhang, Yuchao Zheng, Dahan Wang, Lizhong Hua
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2023-04-01
Sarja:	Sensors
Aiheet:	landslide deep learning CBAM GA-RPN Mask R-CNN
Linkit:	https://www.mdpi.com/1424-8220/23/9/4287
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