Improving the Classification of Landsat-8 OLI Images using Neighborhood Median Pixel Values

• Main Authors: Magpantay, Abraham T, Fernandez, Proceso L, Jr
• Format: text
• Published: Archīum Ateneo 2020
• Subjects: Remote sensing; Earth; Artificial satellites; Indexes; Vegetation mapping; Satellites; Image classification; Remote Sensing; Landsat- 8 OLI; Normalized Difference Vegetation Index; Normalized Difference Built-up Index; Normalized Difference Water Index; Computer Sciences
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/227; https://ieeexplore.ieee.org/document/9182359
• Institution: Ateneo De Manila University

Image classification in remote sensing is defined by categorizing image pixels or raw data sensed by satellites into a distinct set of labels. In this paper, an improved technique for classifying pixels from satellite images is proposed. The technique makes use of the median value of the pixels in t...