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- W3009127908 abstract "In the present research work, neighbourhood correlation image (NCI) analysis technique was applied for identifying the changed and unchanged pixels in land use/land cover system in a small part of Dehradun city, India. Correlation image, slope image, and intercept image in the neighbourhood of a particular pixel for any two multi-temporal data sets provide significant information regarding changed pixels. The fundamental concept indicates a high correlation in the unchanged pixels and a low correlation in the changed pixels for same windows of two multi-date images. Various rectangular neighbourhood pixel windows (3 × 3, 5 × 5, 7 × 7, and 9 × 9) were used for NCI application. Results show that NCI analysis technique was almost equally effective for raw data or radiometric normalized data. Furthermore, the NCI technique becomes more effective in higher resolution with small pixel window size." @default.
- W3009127908 created "2020-03-13" @default.
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- W3009127908 date "2020-01-01" @default.
- W3009127908 modified "2023-09-24" @default.
- W3009127908 title "Analysing the Capability of NCI Technique in Change Detection Using High- and Medium-Resolution Multispectral Data" @default.
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- W3009127908 doi "https://doi.org/10.1007/978-981-15-2097-6_10" @default.
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