A comparison of neural networks and maximum likelihood remotely sensed data classifiers to detect logged - over tropical rain forest in Indonesia

A. Fauzi; Y.A. Hussin; M.J.C. Weir

A comparison of neural networks and maximum likelihood remotely sensed data classifiers to detect logged - over tropical rain forest in Indonesia

A. Fauzi, Y.A. Hussin, M.J.C. Weir

Research output: Contribution to journal › Article › Academic › peer-review

Original language	English
Pages (from-to)	47-56
Journal	International journal of geoinformatics
Volume	1
Issue number	2
Publication status	Published - 2005

Keywords

ADLIB-ART-3098
NRS

Cite this

@article{a16066d3ad1a48eeb4ee39761fe279ac,

title = "A comparison of neural networks and maximum likelihood remotely sensed data classifiers to detect logged - over tropical rain forest in Indonesia",

keywords = "ADLIB-ART-3098, NRS",

author = "A. Fauzi and Y.A. Hussin and M.J.C. Weir",

year = "2005",

language = "English",

volume = "1",

pages = "47--56",

journal = "International journal of geoinformatics",

issn = "1686-6576",

publisher = "Association for Geoinformation Technology",

number = "2",

}

TY - JOUR

T1 - A comparison of neural networks and maximum likelihood remotely sensed data classifiers to detect logged - over tropical rain forest in Indonesia

AU - Fauzi, A.

AU - Hussin, Y.A.

AU - Weir, M.J.C.

PY - 2005

Y1 - 2005

KW - ADLIB-ART-3098

KW - NRS

UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2005/peer_jrnl/hussin_com.pdf

M3 - Article

SN - 1686-6576

VL - 1

SP - 47

EP - 56

JO - International journal of geoinformatics

JF - International journal of geoinformatics

IS - 2

ER -

A comparison of neural networks and maximum likelihood remotely sensed data classifiers to detect logged - over tropical rain forest in Indonesia

Keywords

Other files and links

Cite this