Building Detection From Satellite Images for Urban Planning Using MATLAB-Based Pattern Matching Method

Building Detection From Satellite Images for Urban Planning Using MATLAB-Based Pattern Matching Method

A. Amala Arul Reji, S. Muruganantham
Copyright: © 2019 |Pages: 12
DOI: 10.4018/IJCICG.2019070102
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Abstract

Remote sensing and satellite image processing has many applications and an emerging field of trending in recent research. Remote sensing methods for extraction of information are used to obtain information related to the Earth's resources and environment for most government-based research applications. Few enhanced hybrid algorithms are reported and in use for real-world applications in recent years by extensive research for digital image processing. The digital images and satellite images are now extensively used for its information, which have many advantages over present analog image processing methods. The satellite data are larger and carry enormous amounts of information for applications like land description, crop assessment, cultivation monitoring, meteorology, regional description, underwater analysis, sea water interpretation, and so on. This paper analyses the requirements of better interpretation methods of received/captured images and newer processing techniques required. This paper presents complete study and pattern matching research in image processing tools using MATLAB programming and its capabilities that could be used in remote sensing applications in the future.
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2. Background Of Research

The urban planning is often requires hands on data and sustainable evidences to do planning and execution of various housing schemes. The urban planning is all about sustainable development in planning the authorities are given with statutory responsibilities to plan their areas. The successful plans are developmental plans for progress but also with plans and site development activities that can supplement the function of statutory plans. It is important to support plans and documents that can convincingly serve as a document to residential development that reflects aims set out by government and other development agencies. The amount and type of new housing required to meet the needs of the wider area, including the provision of social and affordable housing, and the range of different dwelling types and sizes, including live-work units. The need to adopt a sequential approach to the zoning of residential lands, extending outwards from the center of an urban area, as recommended in the development plan. Adequate existing public transport capacity available or likely to be available within a reasonable development timescale is also an important factor to be considered. The relationship and linkages between the area to be (re) developed and established neighborhoods, including the availability of existing community facilities, and the provision of pedestrian and cycle networks.

The benefits that mixed-use development can create a design framework for urban area development and the potential for guidance in planning such as design briefs to supplement the local area plan in time scale, location and type of public space. These techniques used in setting and monitoring of appropriate density levels within the area and planning protection and enhancement of biodiversity and the green infrastructure. This helps adaptation that impacts of climate change and planning for avoidance of natural hazards such as flood risk, and avoidance of increased flood risk for downstream areas. Design and development of a tool for remote sensing satellite images proposed in this study would be one of the effective tools to monitor Land Use and Land Cover and Change Detection. Land cover means grouped the various natural resources available in this surface area. Land use means how people are effectively using various natural resources. Change detection defines what are the changes happened between two or more time period.

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