Change Detection of Mangroves at Subpixel Level of Synthesized Hyperspectral Data Using Multifractal Analysis Method
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-8742-7_55
Reference20 articles.
1. Jenerowicz M, Wawrzaszek A, Drzewiecki W, Krupiński M, Aleksandrowicz S (2019) Multifractality in humanitarian applications: a case study of internally displaced persons/refugee camps. IEEE J Sel Top Appl Earth Observations Remote Sens 12(11):4438–4445
2. Chakravortty S, Li J, Plaza A (2017) A technique for subpixel analysis of dynamic mangrove ecosystems with time-series hyperspectral image data. IEEE J Selected Topics Appl Earth Observations Remote Sens 11.4: 1244–1252
3. Zhou J, Kwan C, Ayhan B, Eismann MT (2016) A novel cluster kernel RX algorithm for anomaly and change detection using hyperspectral images. IEEE Trans Geosci Remote Sens 54(11):6497–6504
4. Dalla Mura M, Benediktsson JA, Bovolo F, Bruzzone L (2008) An unsupervised technique based on morphological filters for change detection in very high resolution images. IEEE Geosci Remote Sens Lett 5(3):433–437
5. Celik T (2009) Multiscale change detection in multi temporal satellite images. IEEE Geosci Remote Sens Lett 6(4):820–824
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