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Vegetation Index: Ideas, Methods, Influences, and Trends

Vegetation Index: Ideas, Methods, Influences, and Trends
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Author(s): Suresh Kumar Nagarajan (VIT University, India)and Arun Kumar Sangaiah (VIT University, India)
Copyright: 2018
Pages: 40
Source title: Computer Vision: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-5204-8.ch065

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Abstract

This is the survey for finding vegetation, deforestation of earth images from various related papers from different authors. This survey deals with remote sensing and normalized difference vegetation index with various techniques. We survey almost 100 theoretical and empirical contributions in the current decade related to image processing, NDVI generation by using various new techniques. We also discuss significant challenges involved in the adaptation of existing image processing techniques to generation NDVI systems that can be useful in the real world. The resolution of remote sensing images increases every day, raising the level of detail and the heterogeneity of the scenes. Most of the existing geographic information systems classification tools have used the same methods for years. With these new high resolution images, basic classification methods do not provide satisfactory results.

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