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A Spectral Database for the Recognition of Urban Objects in Kaunas City: Performance and Morphometric Issues

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HAL Id: hal-02951336

https://hal.archives-ouvertes.fr/hal-02951336

Submitted on 28 Sep 2020

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A Spectral Database for the Recognition of Urban

Objects in Kaunas City: Performance and

Morphometric Issues

Sébastien Gadal, Gintautas Mozgeris, Donatas Jonikavicius, Jūratė

Kamičaitytė, Walid Ouerghemmi

To cite this version:

Sébastien Gadal, Gintautas Mozgeris, Donatas Jonikavicius, Jūratė Kamičaitytė, Walid Ouerghemmi. A Spectral Database for the Recognition of Urban Objects in Kaunas City: Performance and Mor-phometric Issues. Sandra Krikstanaviciute. Advanced Construction Architecture: Raw Materials and Circular Economy in the Built Environment, Sep 2020, Kaunas, Lithuania. Kaunas University of Technology, pp.71-72, 2020, �10.5557/e01.2669-1922.2020�. �hal-02951336�

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ADVANCED CONSTRUCTION AND ARCHITECTURE 2020

Raw Materials and Circular Economy in the Built Environment

September 23-25, 2020, Kaunas, Lithuania

Kaunas University of Technology

A Spectral Database for the Recognition of Urban Objects in Kaunas

City: Performance and Morphometric Issues

Sébastien Gadal

12

, Gintautas Mozgeris

3

, Donatas Jonikavicius

3

, Jurate Kamicaityte

4

, Walid Ouerghemmi

1

• The diversity of urban materials of Kaunas city, contemporary and historical urban structures, urban planning

peculiarities and spatial complexity characteristic to post-Soviet Baltic cities permitted the development of a

"broad spectrum" object-oriented spectral database made with a Themis Vision hyperspectral Vis-NIR sensor in

laboratory on some common roofing’s materials.

Key conclusions:

• The results obtained on the

recognition and

characterization of urban

materials and buildings are

substantial.

• The performance of the

recognition of built-up

areas is improved with the

use of the morphometric

urban object database.

• Using the urban objects

spectral library in another

city is possible after

adaptation of the

morphological rules to the

specific city’s structures.

1

Aix-Marseille Université, CNRS ESPACE UMR 7300,

2

North Eastern Federal University,

3

Vytautas

Magnus University,

4

Kaunas University of Technology, sebastien.gadal@univ-amu.fr

ANR Hyperspectral Imagery Applied to Environmental Planning & CNES TOSCA AICMEE

Urban objects classification by spectral library and morphological

rectification of multiband image.

Spectral classification by spectral library of (a) residential zone, (b) industrial zone,

and (c) historical center of Kaunas city.

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