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Analysis of Change Detection Techniques using Remotely Sensed Data

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Figure

Fig 2. Simulation results of Post Classification method Figure 2 shows the images of the two data sets which are classified into two classes namely, vegetation and water which can be
Figure 3 shows the two datasets, along with the number of changed pixels shown by white colored pixels in bands 3,2 and 1 and Fig.3 Simulation results of Image Differencing Change Detection Method finally the overall number of changed pixels is shown by th
Fig.5 Simulation results of Principal Component Analysis Change Detection method Figure 5 shows the two input datasets along with PC2 component image of PCA method showing the overall number of changed pixels by white color in the third image and bl
Table 1. Quantitative Analysis of Image differencing, Image Regression and Principal Component Analysis methods

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