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Title: Change Detection in Multispectral Satellite Images using Histogram based Thresholding Technique
Authors: Kanth, P. Chandra
Gupta, Neha
Ari, Samit
Keywords: Binary change map
Change detection
Histogram analysis
Multispectral satellite image
Issue Date: Feb-2019
Citation: 3rd IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT 2019), Coimbatore, India 20 – 22 February 2019
Abstract: In this paper, an unsupervised global threshold technique, which is based on histogram analysis, is proposed. This technique analyzes the histogram. The histogram is partitioned in intensities at equal interval, and each interval assigned as single intensity. Then, differentiation is applied to get location of maxima in histogram. Depending on the locations of maxima, threshold is calculated to separate the two regions as change and no-change. The utilization of the differentiation improves the visualization of the maxima of different regions. To demonstrate the effectiveness of technique, experiments are conducted on two multispectral satellite images.
Description: Copyright of this document belongs to proceedings publisher.
Appears in Collections:Conference Papers

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