NDLI: Unsupervised land use - land cover classification for multispectral images

Content Provider	IEEE Xplore Digital Library
Author	Bayram, U. Can, G. Yuksel, B. Duzgun, S. Yalabik, N.
Copyright Year	2011
Description	Author affiliation: Maden Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Turkey (Duzgun, S.) \|\| Yalabik Muhendislik, Turkey (Yalabik, N.) \|\| Elektrik Elektronik Mühendisi, C3S Ltd. Şti., Turkey (Bayram, U.) \|\| Bilgisayar Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Turkey (Can, G.; Yuksel, B.)
Abstract	In this paper, land use/land cover classification of multispectral imagery with unsupervised approaches are presented. Primarily, a pixel based recognition algorithm is applied in three stages. At the first stage, water bodies are classified by using the NIR band histogram. At the second stage, combination of several vegetation indices are used to locate vegetation and at the third stage, by using Gabor filter man-made structures are classified and the unclassified fields are left. Followingly in order to increase the success rate, pixel based classification results are combined with meanshift segmentation results and a homogeneity test is applied for each segment. The segments that passed the homogeneity test are classified to corresponding class and for the rest, pixel based results are assigned. Compared to the similar works, this approach gives successful results.
Starting Page	574
Ending Page	577
File Size	1021615
Page Count	4
File Format	PDF
ISBN	9781457704628
e-ISBN	9781457704635
e-ISBN	9781457704611
DOI	10.1109/SIU.2011.5929715
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-20
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Satellites Conferences Vegetation mapping Signal processing Remote sensing Pixel
Content Type	Text
Resource Type	Article

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