Airplane Extraction from High Resolution Satellite Image Using Boundary Feature
نویسنده
چکیده
Many researchers conducted the effort for improving the classification accuracy of satellite image. Most of the study has used optical spectral information of each pixel for image classification. By applying this method for high resolution satellite image, number of class became increase. This situation was remarkable for objects in urban area. In this study, we propose the method for extracting some objects using boundary features. Airplane was selected as a target object. Airplane extraction algorithm is as follows. Supervised land cover classification is carried out for multiband satellite image. The pixels recognized as airplane were set to 1. The other pixels were set to 0. We could binarize the target image using this method. However, some roof of buildings had same characteristics of airplane. We introduced some boundary features in order to specify the airplanes from other land covers. Such procedure was carried out for each pixel by moving window. We can extract the boundary of each airplane easy using boundary features. This algorithm was applied for Quickbird image. We obtained the good result.
منابع مشابه
Object-Oriented Method for Automatic Extraction of Road from High Resolution Satellite Images
As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...
متن کاملDigital surface model extraction with high details using single high resolution satellite image and SRTM global DEM based on deep learning
The digital surface model (DSM) is an important product in the field of photogrammetry and remote sensing and has variety of applications in this field. Existed techniques require more than one image for DSM extraction and in this paper it is tried to investigate and analyze the probability of DSM extraction from a single satellite image. In this regard, an algorithm based on deep convolutional...
متن کاملHybrid Model with Super Resolution and Decision Boundary Feature Extraction and Rule based Classification of High Resolution Data
Data Mining is defined as the process of applying specific algorithms for extracting patterns from data. Data mining strategies can be grouped into Classification, Prediction, Estimation, Association Rule Mining and Clustering. Satellite images are used these days. With the help of high resolution image we can extract the features of an image. There are many types of satellites which provide ac...
متن کاملContourlet-Based Edge Extraction for Image Registration
Image registration is a crucial step in most image processing tasks for which the final result is achieved from a combination of various resources. In general, the majority of registration methods consist of the following four steps: feature extraction, feature matching, transform modeling, and finally image resampling. As the accuracy of a registration process is highly dependent to the fe...
متن کاملSatellite Imagery Cadastral Features Extractions using Image Processing Algorithms: A Viable Option for Cadastral Science
Satellite images are used for feature extraction among other functions. They are used to extract linear features, like roads, etc. These linear features extractions are important operations in computer vision. Computer vision has varied applications in photogrammetric, hydrographic, cartographic and remote sensing tasks. The extraction of linear features or boundaries defining the extents of la...
متن کامل