Explicit Incorporation of Spatial Autocorrelation in 3D Deep Learning for Geospatial Object Detection

IF 3.2 2区社会学 Q1 GEOGRAPHY

Annals of the American Association of Geographers Pub Date : 2024-08-14 DOI:10.1080/24694452.2024.2380898

Tianyang Chen, Wenwu Tang, Craig Allan, Shen-En Chen

引用次数: 0

Abstract

Three-dimensional (3D) geospatial object detection has become essential for 3D geospatial studies driven by explosive growth in 3D data. It is extremely labor- and cost-intensive, though, as it oft...

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在三维深度学习中明确纳入空间自相关性以进行地理空间物体检测

在三维数据爆炸式增长的推动下，三维（3D）地理空间物体检测已成为三维地理空间研究的关键。不过，这种方法非常耗费人力和成本，因为它经常需要对物体进行...

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来源期刊

Annals of the American Association of Geographers GEOGRAPHY-

CiteScore

8.40

自引率

7.70%

发文量

124

期刊介绍： The Annals of the American Association of Geographers was first published in 1911. It is recognized as the Association''s premier journal for major research articles for all fields of geography. To be accepted, a paper must adhere to a high standard of scholarship and make an important contribution to geographic knowledge. It should also be grounded in the relevant literature of the specialization it represents and, where appropriate, establish relationships to themes within the broader discipline. Contents may include invited essays, review articles, Presidential Addresses, and memorials.