NDLI: A general approach to the spatial simplification of remote sensing images based on morphological connected filters

Content Provider	IEEE Xplore Digital Library
Author	Dalla Mura, M. Benediktsson, J.A. Bruzzone, L.
Copyright Year	2011
Description	Author affiliation: Department of Information Engineering and Computer Science, University of Trento, Via Sommarive, 14 I-38123, Povo, Italy (Dalla Mura, M.; Bruzzone, L.) \|\| Faculty of Electrical and Computer Engineering, University of Iceland, Hjardarhaga 2-6, 107 Reykjavik, Iceland (Benediktsson, J.A.)
Abstract	In this paper a general approach based on morphological connected filters for the spatial simplification of very high resolution remote sensing images is introduced. In greater detail, the proposed approach is made up of two steps: i) the selection of the parameters defining the connected filters driven by the information available on the scene and on the specific application; and ii) the application of the tuned filter to the input image. This work aims at: i) explicitly delineating the characteristic of an approach for the spatial simplification of images based on connected filters; ii) defining a general architecture suitable for the analysis in different scenarios modeling common different operative conditions; iii) giving guidelines for the automation of the simplification process according to different operational settings; iv) qualitatively evaluating the application of the proposed approach on a real data set in different scenarios.
Starting Page	1239
Ending Page	1242
File Size	310658
Page Count	4
File Format	PDF
ISBN	9781457710032
ISSN	21537003
e-ISBN	9781457710056
DOI	10.1109/IGARSS.2011.6049423
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Remote sensing Buildings Complexity theory Shape Image segmentation Image resolution Educational institutions remote sensing Image simplification connected filters mathematical morphology image processing
Content Type	Text
Resource Type	Article

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