Advances in Classification of Crops using Remote Sensing Data

Rajesh K. Dhumal, Amol D. Vibhute, Ajay D. Nagne, Yogesh D. Rajendra, Karbhari V. Kale, Suresh C. Mehrotra

Abstract


Remote sensing is an efficient technology and worthy source of earth surface information, as it can capture images of reasonably large area on the earth. Due to advancement in the sensor technologies there is availability of high spatial as well as spectral resolutions imageries, and also non imaging Spectroradiometer. With the use of these imaging and non-imaging data we can easily characterize the different species. In this article we have reported work done by worldwide researchers for spatial as well as spectral feature extraction from remote sensing data; specifically we have focused on classification of crops and use narrow band vegetation indices. It may be observed from the report that both spatial resolution and hyperspectral imageries need to be used for better classification.


Keywords


Spatial Features; Spectral Features; Hyperspectral Data; Crops Classification

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*2016 Journal Impact Factor was established by dividing the number of articles published in 2014 and 2015 with the number of times they are cited in 2016 based on Google Scholar, Google Search and the Microsoft Academic Search. If ‘A’ is the total number of articles published in 2014 and 2015, and ‘B’ is the number of times these articles were cited in indexed publications during 2016 then, journal impact factor = A/B. To know More: (http://en.wikipedia.org/wiki/Impact_factor)