DATA FUSION IN URBAN CARTOGRAPHY
Oscar Ricardo Vergara'
Ana Lücia Bezerra Candeias"
Maria de Lourdes N. de O. Kurkdjian"
“* INPE - Instituto Nacional de Pesquisas Espaciais
C.P. 515 - 12201-970 Säo José dos Campos, SP, Brazil
La {richard, analucia } @dpi.inpe.br
‘lulu @1tid.inpe.br
Commission VII, Working Group 9
KEY WORDS: Remote Sensing, Human, Settlement, Updating, SPOT, Resolution, Urban Cartography, Data Fusion.
ABSTRACT:
The set of images of the various operating orbital sensors is not enough to meet all the needs of the users, as there are applications
which require high spatial and spectral resolutions. For this reason, aiming at overcoming some original data restrictions,
image processing is used to generate improved quality products. Data fusion is the generic name given to techniques which allow to
integrate images of different spatial and spectral characteristics in order to obtain synthetic images which have the advantages
presented by their components, making the extraction of information easier.
In this paper, the processing applied to the original data (panchromatic and multispectral HRV-SPOT images) made the
photointerpretation easier as well as the mapping of intra-urban areas, within a methodology of cartographic updating at 1:50,000
scale. Such processing started by applying a high-pass filter to the panchromatic image, to enhance edges. Later the IHS
transformation was used, following a methodology which intended to generate a synthetic product preserving the spectral
characteristics of the multispectral component, without losing the spatial resolution of the filtered panchromatic image. The results
obtained through this processing show that in the synthetic image, the intra-urban areas were considerably improved.
1.INTRODUCTION
resulting product was used to update the intra-urban areas of a
The set of images of the various operating orbital sensors is topographic map at 1:50,000 scale.
still insufficient to solve all the problems of Remote Sensing
users, as there are applications that require high resolutions,
spatial as well as spectral. An example of this is the urban
areas mapping in topograpic maps updating, because the
current cartographic norms demand greater thematic
information than that offered by the original images obtained
from the current sensor systems. For that reason it is necessary
to use image processing techniques in an attempt to generate
products that allow as much extraction of thematic information
as possible.
Table 1 - Original HRV - SPOT images identification
The working area was a module of "Sáo José dos Campos"
(Säo Paulo State, Brazil) topographic map at 1:50,000 scale
(sheet SF-23-Y-D-II-1) published by IBGE in 1973. This area
includes part of the city and is limited by the following
geographic coordinates: S23°07’35” and S23°14'06”;
W45'52'07" and W45^50'06".
Data fusion is the generic name given to techniques that
integrate data sets of different spatial and spectral
characteristics, obtained or not by different sensors, aiming at
generating synthetic products of improved quality when
compared with the original data separately. The images thus
obtained have the informative content of the component
products, profeting from the advantages presented by each one
of them and making it possible to extract more complete and
2. METHODOLOGY
The processing applied to the original images aimed at
accurate information (Chavez, 1986; Dutra et al, 1988: facilitating the photo-interpretation of the intra-urban areas
Kurkdjian et Ii, 1989; Brum, 1989; Kurkdjian, 1990; Carper et included in the module under study. To do so, the following
al., 1990; Candeias, 1992). methodology was applied:
In this paper, the IHS transformation technique was used to 2-1 Filtering
merge panchromatic and multispectral (BGR 1,2,3) HRV- N . Rio : {inal
SPOT digital data generated by INPE and identified in Table 1. ~~ A high-pass isotropic filter was applied to the origina
The image processing was made at SITIM (Integrated System panchromatic SPOT image which allowed to generate an edge
of Image Treatment developped at the same Institute). The enhanced image. The filter used (Figure 2) did not produce any
image dislocation effect or geometric alteration.
734
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B7. Vienna 1996
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