Deakin University
Browse

File(s) under permanent embargo

Multi-view Learning for Impervious Surface Mapping using High-resolution Multi-spectral Imagery and LiDAR Data

Version 2 2024-06-05, 03:40
Version 1 2023-01-26, 23:36
journal contribution
posted on 2024-06-05, 03:40 authored by Hui Luo, Fupeng Yang, Xibo Feng, Yanni Dong, Yuxiang Zhang, Geyong Min, Jianxin Li
Multi-view Learning for Impervious Surface Mapping using High-resolution Multi-spectral Imagery and LiDAR Data

History

Journal

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volume

PP

Pagination

1-21

Location

Piscataway, N.J.

Publisher DOI

ISSN

1939-1404

eISSN

2151-1535

Language

English

Publication classification

C1 Refereed article in a scholarly journal

Issue

99

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Usage metrics

    Research Publications

    Categories

    Keywords

    impervious surfacedata fusionmulti-view learning

    Licence

    All Rights Reserved

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC