Abstract

Abstract. The aim of this research is to investigate possibility for interactive semi-automatic interpretation of digital images in humanitarian demining for the purpose of detection and extraction of (strong) indicators of mine presence which can be seen on the images, according to the parameters of the general geometric shapes rather than radiometric characteristics. For that purpose, objects are created by segmentation. The segments represent the observed indicator and the objects that surround them (for analysis of the degree of discrimination of objects from the environment) in the best possible way. These indicators cover a certain characteristic surface. These areas are determined by segmenting the digital image. Sets of pixels that form such surface on images have specific geometric features. In this way, it is provided to analyze the features of the segments on the basis of the object, rather than the pixel level. Factor analysis of geometric parameters of this segments is performed in order to identify parameters that can be distinguished from the other parameters according to their geometric features. Factor analysis was carried out in two different ways, according to the characteristics of the general geometric shape and to the type of strong indicators of mine presence. The continuation of this research is the implementation of the automatic extraction of indicators of mine presence according results presented in this paper.

Highlights

  • The Republic of Croatia (RC) has been faced with the mine problems as one of the most difficult consequences of the war events in this area

  • In the analysis presented in this paper, the attention has been paid to better defining of strong indicators of mine presence (IMP) by means general shape features

  • It is mainly related to strong indicators of mine presence that are interactively separated by the interpreters of the mine scene, because they can be hardly separated by means of automatic processing on the basis of their spectral and radiometric characteristics

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Summary

INTRODUCTION

The Republic of Croatia (RC) has been faced with the mine problems as one of the most difficult consequences of the war events in this area. One of the methods is the collection of aerial images related to the depth of SHA and interpreting these images for the purpose of finding and extracting the indicators of mine presence and absence. Thematic presentations of the impact and the interaction of the impacts of all IMPs (danger map) and IMA (proposed reduction map) (Krtalic, 2012) are made. The experts in the domain of warfare and mining operations can make decisions about redefining of SHA more on the basis of the data captured from such thematic presentations. The IMP occupy a certain characteristic area, and the sets of pixels creating them on the images have certain spectral and geometric features Due to their dominant geometric features, they are divided into two groups: linear and surface indicators. - by processing and interpretation of satellite images; - with orthophoto plans; by analysing the field using digital terrain model

DEFINITION OF THE INDICATOR OF MINE PRESENCE
Segmentation of digital images
Indicators in hilly-lowland terrain
Indicators in the hilly-lowland karst terrain
ANALYSIS OF THE FEATURES OF GENERAL INDICATOR SHAPES
Subjective analysis of feature value diagram of general shapes
Factor analysis of the values of general shape features
Findings
CONCLUSION
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