Abstract
Hitherto there have been many studies comparing the usefulness of OLI and ETM+ sensors for linear feature extraction. However, not too much attention has been paid to the differences in the bandwidth of the two sensors. In this study, the suitability of Landsat ETM+ and OLI sensors for automatic detection of linear features by LINE algorithm was compared. In this study, eight regions in northern, central and southern parts of Iran were selected based on the diversity of lithology, the pristine status, and lack of human activities for the comparison of the two datasets. Results revealed that LINE algorithm performed better on the images with higher standard deviation. The ETM+ datasets are more suitable for linear feature extraction because ETM+ panchromatic band and first principal component analysis image (PC1 image) of ETM+ datasets have higher standard deviation compared to OLI datasets.
Highlights
Detection and extraction of linear features using digital images such as satellite or aerial images is a very important low-level operation in computer vision which has several applications
The ETM+ datasets are more suitable for linear feature extraction because ETM+ panchromatic band and first principal component analysis image (PC1 image) of ETM+ datasets have higher standard deviation compared to Operational Land Imager (OLI) datasets
This study aims to compare the suitability of Landsat 7’s ETM+ and Landsat 8’s OLI data for linear feature extraction using LINE algorithm in PCI Geomatica Software
Summary
Detection and extraction of linear features using digital images such as satellite or aerial images is a very important low-level operation in computer vision which has several applications. LINE algorithm in the PCI Geomatica software is the most commonly used automatic approach for linear feature extraction [7,8,9]. This algorithm employs the Canny method and detects the edge in images in three consecutive stages, namely edge detection, thresholding and curve extraction [10]. This study aims to compare the suitability of Landsat 7’s ETM+ and Landsat 8’s OLI data for linear feature extraction using LINE algorithm in PCI Geomatica Software. For this purpose, the performance of LINE algorithm on panchromatic bands and PC1 images of these datasets
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