GAN-Based LUCC Prediction via the Combination of Prior City Planning Information and Land-Use Probability

نویسندگان

چکیده

Currently, the world is in a period of urbanization that will accelerate processes land use cover and ecological change. Thus, establishing change (LUCC) prediction simulation model great significance for understanding process urban assessing its impact. In previous studies, LUCC models have been mainly based on cellular automata (CA) structures calculate future state pixel by through transition rules. Because these rules are usually global each calculated according to fixed rules, results methods room improvement terms generating details heterogeneity. this paper, generative adversarial network (GAN)-based using multi-scale local spatial information proposed. The pix2pix GAN an attention structure predicts information. To validate our model, Shenzhen, region experiencing rapid was chosen as source experimental data. indicate proposed method achieved highest accuracy both short-time interval long-time scenarios. addition, were also closest ground truth from perspective landscape pattern.

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ژورنال

عنوان ژورنال: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

سال: 2021

ISSN: ['2151-1535', '1939-1404']

DOI: https://doi.org/10.1109/jstars.2021.3106481