Quadrature Bandpass Isotropic Filters for Urban Zones Segmentation in Satellite Imagery
نویسنده
چکیده
This article introduces a new and effective method for urban zone segmentation in satellite imagery. The proposed method consists in filtering a band of the multi-spectral image (from the SPOT satellite) with a quadrature bandpass isotropic filter. The filter bandwith and tuning frequency are determined from the source images by a simple experimental analysis. The final image can be obtained by low-pass filtering the quadrature filter's output, or by a Bayesian method using a Hidden Markov Measure Field Model. Our experiments in SPOT imagery at 10 meters resolution, report classification errors of around 5%. Sea zones containing similar features to those found in urban areas are removed by a neural network. * [email protected]; phone: +52 (473) 732 71 55; fax: +52 (473) 732 57 49.
منابع مشابه
Multiscale Geoscene Segmentation for Extracting Urban Functional Zones from VHR Satellite Images
Urban functional zones, such as commercial, residential, and industrial zones, are basic units of urban planning, and play an important role in monitoring urbanization. However, historical functional-zone maps are rarely available for cities in developing countries, as traditional urban investigations focus on geographic objects rather than functional zones. Recent studies have sought to extrac...
متن کاملComparing the Capability of Sentinel 2 and Landsat 8 Satellite Imagery in Land Use and Land Cover Mapping Using Pixel-based and Object-based Classification Methods
Introduction: Having accurate and up-to-date information on the status of land use and land cover change is a key point to protecting natural resources, sustainable agriculture management and urban development. Preparing the land cover and land use maps with traditional methods is usually time and cost consuming. Nowadays satellite imagery provides the possibility to prepare these maps in less ...
متن کاملAn Urban Classification Approach Based on an Object– Oriented Analysis of High Resolution Satellite Imagery for a Spatial Structuring within Urban Areas
Classifying the complex structures of urban morphology from high resolution remote sensing imagery comprises difficulties due to their spectral and spatial heterogeneity. This paper presents a methodology allowing to derive meaningful area-wide spatial information for city planning and management from IKONOS imagery. The initial point is a stable segmentation for an object-oriented approach to ...
متن کاملIntegration of Deep Learning Algorithms and Bilateral Filters with the Purpose of Building Extraction from Mono Optical Aerial Imagery
The problem of extracting the building from mono optical aerial imagery with high spatial resolution is always considered as an important challenge to prepare the maps. The goal of the current research is to take advantage of the semantic segmentation of mono optical aerial imagery to extract the building which is realized based on the combination of deep convolutional neural networks (DCNN) an...
متن کاملThe Multidimensional Isotropic Generalization of Quadrature Filters in Geometric Algebra
In signal processing, the approach of the analytic signal is a capable and often used method. For signals of finite length, quadrature filters yield a bandpass filtered approximation of the analytic signal. In the case of multidimensional signals, the quadrature filters can only be applied with respect to a preference direction. Therefore, the orientation has to be sampled, steered or orientati...
متن کامل