Hierarchical object-based image analysis of high-resolution imagery for urban land use classification

Q. Zhan, M. Molenaar, Y. Xiao

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic

Original language	English
Title of host publication	Proceedings of IEEE/ISPRS joint workshop on Remote Sensing and data fusion over urban areas : IEEE/ISPRS, University of Rome, Rome
Pages	25-29
Publication status	Published - 2001

Keywords

This output contributes to the following UN Sustainable Development Goals (SDGs)

@inproceedings{f67c16fc8a084107834d668886925f04,

title = "Hierarchical object-based image analysis of high-resolution imagery for urban land use classification",

keywords = "Classification, Hierarchy, Image Analysis, Segmentation",

author = "Q. Zhan and M. Molenaar and Y. Xiao",

year = "2001",

language = "English",

pages = "25--29",

booktitle = "Proceedings of IEEE/ISPRS joint workshop on Remote Sensing and data fusion over urban areas : IEEE/ISPRS, University of Rome, Rome",

}

Hierarchical object-based image analysis of high-resolution imagery for urban land use classification. / Zhan, Q.; Molenaar, M.; Xiao, Y.
Proceedings of IEEE/ISPRS joint workshop on Remote Sensing and data fusion over urban areas : IEEE/ISPRS, University of Rome, Rome. 2001. p. 25-29.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic

TY - GEN

T1 - Hierarchical object-based image analysis of high-resolution imagery for urban land use classification

AU - Zhan, Q.

AU - Molenaar, M.

AU - Xiao, Y.

PY - 2001

Y1 - 2001

KW - Classification

KW - Hierarchy

KW - Image Analysis

KW - Segmentation

M3 - Conference paper

SP - 25

EP - 29

BT - Proceedings of IEEE/ISPRS joint workshop on Remote Sensing and data fusion over urban areas : IEEE/ISPRS, University of Rome, Rome

ER -