TITLE:
Multispectral Image Processing System Developed in CARTOMORPH Software—NDVI Module
AUTHORS:
Tiago Oyan Aguiar, Samara Calçado de Azevedo, Miriam Maria Pedrosa, Guilherme Pina Cardim, Erivaldo Antonio da Silva
KEYWORDS:
NDVI, CARTOMORPH, Quick Bird, Remote Sensing
JOURNAL NAME:
Advances in Remote Sensing,
Vol.7 No.2,
June
22,
2018
ABSTRACT: In this paper, we have evaluated the
multispectral module implemented in the CARTOMORPH software, which is a public
domain software under development by the mathematical morphology research group
at FCT/UNESP. The aim of CARTOMORPH is to provide an open software with feature
extraction methods and a library that contains a variety of implemented code
(functions) that can be easily operated by users through graphical interface.
The multispectral image processing system has been developed to allow feature
discrimination by operations between bands from Remote Sensing images. The
normalized difference vegetation index (NDVI) was selected to be implemented on
CARTOMORPH because of its acknowledged performance for monitoring of vegetation and cartographic applications. The
experiments were applied to multispectral bands from Quick Bird image and the results were compared with
those provided by the SPRING and ENVI software. Former is a Brazilian free
software, developed by National Institute for Space Research-INPE and dedicated
to image processing and Geographic Information Systems (GIS) analysis, as well
as ENVI, which is a traditional remote sensing image analysis system. The
results prove that the implementation of this module is correct, allowing
potential usage in the field of cartography and for environmental applications.