Change Detection Analysis using Bitemporal PRISMA Hyperspectral Data: Case Study of Magelang and Boyolali Districts, Central Java Province, Indonesia
Author:
Funder
Universitas Gadjah Mada
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development
Link
https://link.springer.com/content/pdf/10.1007/s12524-022-01566-z.pdf
Reference40 articles.
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2. Afwani, M. Z., & Danoedoro, P. (2019). The effects of polynomial interpolation and resampling methods in geometric correction on the land-cover classification accuracy of Landsat-8 OLI imagery: A case study of Kulon Progo area, Yogyakarta. In Sixth Geoinformation Science Symposium.
3. An, J., Zhang, X., Zhou, H., Feng, J., & Jiao, L. (2018). Patch tensor-based sparse and low-rank graph for hyperspectral images dimensionality reduction. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(7), 2513–2527.
4. Bruzzone, L., Liu, S., Bovolo, F., & Peijun, D. (2016). Change detection in multitemporal hyperspectral images. In Y. Ban (Ed.), Multitemporal Remote Sensing (pp. 63–88). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-47037-5_4
5. Canty, M. J., & Nielsen, A. A. (2012). Linear and kernel methods for multivariate change detection. Computers & Geosciences, 38(1), 107–114.
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