This paper presents a new method for segmenting multispectral satellite images. The proposed method is unsupervised and consists of two steps. During the rst step the pixels of a learning set are summarized by a set of codebook vectors using a Probabilistic Self-Organizing Map (PSOM, [9]) In a second step the codebook vectors of the map are clustered using Agglomerative Hierarchical Clustering ...

OBJECTIVES Various methods have been introduced for evaluation of tooth movement in orthodontics. The challenge is to adopt the most accurate and most beneficial method for patients. This study was designed to introduce analysis of digital photographs with AutoCAD software as a method to evaluate tooth movement and assess the reliability of this method. MATERIALS AND METHODS Eighteen patients...

The Internet is awash with a wealth of maps and spatial imagery, some crude and basic, some refined and highly developed. The availability of maps and imagery of Africa over the Internet and the sophistication of the methods used to display such spatial images will almost certainly increase and so continue to revolutionise the way maps and remotely-sensed images are marketed and delivered world...

In order to assess the satellite data for soil investigation, ASTER digital data 20 June 2006, field study and phisiochemical properties of soil, were analyzed. All landcover classes including soils are classified based onmorphological and physico-chemical characteristics. Images were geocorrected and photomorphic units were selected based upon visual interpretation and sampling in study area. ...

The uses of road map in daily activities are numerous but it is a hassle to construct and update a road map whenever there are changes. In Universiti Malaysia Sarawak, research on Automatic Road Extraction (ARE) was explored to solve the difficulties in updating road map. The research started with using Satellite Image (SI), or in short, the ARE-SI project. A Hybrid Simple Colour Space Segmenta...

conflagration of forests and rangelands is one of the most frequent events in iran. it is regarded as one of the most important parts of land degradation that occurred due to range destruction and desertification. this study was conducted in boroujerd, lorestan province in west of iran in 2013 to determine the fire risk model. the data prepared for the study area involved the vegetation types, ...

The amount of water on earth is the same and only the distribution and the reallocation of water forms are altered in both time and space. To improve the rainwater harvesting a better understanding of the hydrological cycle is mandatory. Clouds are major component of the hydrological cycle; therefore, clouds distribution is the keystone of better rainwater harvesting. Remote sensing technology ...

This paper provides a description of the MediaEval 2017 Multimedia Satellite Task. The primary goal of the task is to extract and fuse content of events which are present in Satellite Imagery and Social Media. Establishing a link from Satellite Imagery to Social Multimedia can yield to a comprehensive event representation which is vital for numerous applications. Focusing on natural disaster ev...

This paper focuses on a robust and flexible edge detection technique based on Independent Component Analysis (ICA) on satellite images for recognition and subjective analysis of changes caused due to Japan earthquake 2011 followed by a devastating tsunami. ICA has been applied to satellite image patches to learn the basis functions using the fixed-point FastICA algorithm. As most of the basis f...