Segment the Roads and Residential Areas from Remote Sensing Images Using 2-D Gradients and MMAD Model
نویسندگان
چکیده
Segmentation of real-world remote sensing images is challenging because of the large size of those data, particularly for very high resolution imagery. For segmentation of remote sensing images, many algorithms have been proposed, to provide accurate results of segmentation by using this new proposed model. Here segmentation can be done by using improved 2D gradient histogram and MMAD (minimum mean absolute deviation) model. This proposed algorithm comes under ‘Thresholding’, the optimal threshold value can find by using MMAD model. Experiments on remote sensing images indicate that the new algorithm provides accurate segmentation results, particularly for images characterized by Laplace distribution histograms.
منابع مشابه
Detection of Land Use Changes for Thirty Years Using Remote Sensing and GIS (Case Study: Ardestan Area)
Due to the increase of changes in the land uses mainly resulting from humaninterferences, monitoring the changes and evaluating their trend and environmental effectsfor future planning and management are essential. In the present study, an attempt is madeto observe the changes which had occurred in Ardestan area during a period of 30 yearsusing some satellite images. Different kinds of data for...
متن کاملPalarimetric Synthetic Aperture Radar Image Classification using Bag of Visual Words Algorithm
Land cover is defined as the physical material of the surface of the earth, including different vegetation covers, bare soil, water surface, various urban areas, etc. Land cover and its changes are very important and influential on the Earth and life of living organisms, especially human beings. Land cover change monitoring is important for protecting the ecosystem, forests, farmland, open spac...
متن کاملExploring Gördes Zeolite Sites by Feature Oriented Principle Component Analysis of LANDSAT Images
Recent studies showed that remote sensing (RS) is an effective, efficient and reliable technique used in almost all the areas of earth sciences. Remote sensing as being a technique started with aerial photographs and then developed employing the multi-spectral satellite images. Nowadays, it benefits from hyper-spectral, RADAR and LIDAR data as well. This potential has widen its applicability in...
متن کاملAutomatic Road Detection and Extraction From MultiSpectral Images Using a New Hierarchical Object-based Method
Road detection and Extraction is one of the most important issues in photogrammetry, remote sensing and machine vision. A great deal of research has been done in this area based on multispectral images, which are mostly relatively good results. In this paper, a novel automated and hierarchical object-based method for detecting and extracting of roads is proposed. This research is based on the M...
متن کاملInvestigating the Effects of Land Use Changes on Trend of Desertification Using Remote Sensing (Case Study: Abarkooh Plain, Yazd, Iran)
More than one-third of the earth is characterized by arid and semi-arid climate and desertification phenomenon in these areas has been intensified in recent decades. This study aims to investigate the trend of desertification using vegetation indices and Iranian Model of Desertification Potential Assessment (IMDPA) in Abarkooh Plain, Yazd province, Iran. The satellite images (Landsat images in ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015