DuneSA: A SAM-based Approach with Domain-Specific Knowledge for Aeolian Dune Segmentation

Author:

Lu Anqi1ORCID,Jiang Zheng1ORCID,Wu Zifeng2ORCID,Wang Wei1ORCID,Zhang Gaowei1ORCID,Hasi Eerdun2ORCID,Wang Yi1ORCID

Affiliation:

1. Beijing University of Posts and Telecommunications, China

2. Beijing Normal University, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Reference22 articles.

1. Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, 2023. Gpt-4 technical report. arXiv preprint arXiv:2303.08774 (2023).

2. Geographic Object-Based Image Analysis – Towards a new paradigm

3. The use of new elevation data (SRTM/ASTER) for the detection and morphometric quantification of Pleistocene megadunes (draa) in the eastern Sahara and the southern Namib

4. Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L Yuille. 2017. Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs. IEEE transactions on pattern analysis and machine intelligence 40, 4 (2017), 834–848.

5. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

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