Evaluating the performance of change indices extracted from multi-temporal remote sensing images in detecting land use and land cover changes

Author:

Naeimi Younes,Norouzi Ramin,Sadeghi Vahid

Publisher

CMV Verlag

Reference25 articles.

1. Ebadi, H., Sadeghi, V., Farnood Ahmadi, F. (2020). "Change Detection in Multi-temporal Remote Sensing Images" KNT University Press. Tehran, (In Persian).

2. Sadeghi, V. (2019). "Combining of magnitude and direction of change indices to unsupervised change detection in multitemporal multispectral remote sensing images" Journal of Geomatics Science And Technology. 8 (4): 91-108, (In Persian).

3. Mohsenifar A, Mohammadzadeh A, Moghimi A. (2021). "An Integrated Unsupervised Change Detection Method Based on the Discrete Wavelet Transform Fusion and An Improved Markov Random Field Model" Journal of Geomatics Science And Technology. 10 (3): 165-182, (In Persian).

4. A New Approach to Change Vector Analysis Using Distance and Similarity Measures

5. A novel unsupervised forest change detection method based on the integration of a multiresolution singular value decomposition fusion and an edge-aware Markov Random Field algorithm

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