| Abstract |
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Remote sensing images are the basic assert to find the agricultural assessment, Global change detection and Tsunami prediction. Remote sensing image classification helps to determine the soil moisture, Weather forecasting, spying enemy activities and etc. Several band combination sensors such as Panchromatic, Panchromatic Nadir, TH-01 take the earth images with various properties. The satellite image classification process is done with the avail of sundry methods such as Supervised, Unsupervised and Object predicated image analysis. The above verbally expressed methods come under Automated, Manual and Hybrid relegation respectively. This research paper provides a new method called Band Value Based Reflective (BVBR) image classification method to classify the satellite image environmental. The BVBR method having the quality measures such as confusion matrix, overall accuracy, kappa Coefficient to justify the classification accuracy. |
