A TWO-STEP FEATURE EXTRACTION ALGORITHM: APPLICATION TO DEEP LEARNING FOR POINT CLOUD CLASSIFICATION

Most deep learning (DL) methods that are not end-to-end use several multi-scale and multi-type hand-crafted features that make the network challenging, more computationally intensive and vulnerable to overfitting. Furthermore, reliance on empirically-based feature dimensionality reduction may lead t...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	A. Nurunnabi, F. N. Teferle, D. F. Laefer, R. C. Lindenbergh, A. Hunegnaw
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Copernicus Publications 2022-02-01
Schriftenreihe:	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online-Zugang:	https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVI-2-W1-2022/401/2022/isprs-archives-XLVI-2-W1-2022-401-2022.pdf
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