Abstract
To address problems in remote sensing image change detection, this study proposes a method for identifying spurious changes based on an eco-geographical zoning knowledge base and crowdsourced data mining. After preliminary change detection using the super pixel cosegmentation method, eco-geographical zoning is introduced, and the rules of spurious change are collected based on the knowledge of expert interpreters, and from statistics on existing land cover products according to each eco-geographical zone. Uncertain changed patches with a high possibility of spurious change according to the eco-geographical zoning rule were published in the form of a map service on an online platform, and then crowd tagging information on spurious changed patches was collected. The Hyperlink-Induced Topic Search (HITS) algorithm was used to calculate the spurious change degree of changed patches. We selected the northern part of Laos as the experimental area and the Chinese GF-1 Wide Field View (WFV) images for change detection to verify the effectiveness of the method. The results show that the accuracy of change detection improves by 23% after removing the spurious changes. Spurious changes caused by clouds, river water turbidity, spectral differences in cultivated land before and after harvest, and changes in shrubs, grassland, and forest density, can be removed using an eco-geographical zoning knowledge base and crowdsourced data mining methods.
Highlights
Land cover constitutes a series of complex surface elements covered by natural structures and artificial buildings
Multitemporal remote sensing image change detection technology can be used to monitor the changes in the ecological environment and track urban development, which is of great significance for the study of the interaction between humans and the natural environment [4]
The fourth layer of the model contains the spurious change rules of each small eco-geographical zone, including the rules inherited from the upper layer and the rules from statistics on existing land cover products according to each eco-geographical zone
Summary
Land cover constitutes a series of complex surface elements covered by natural structures and artificial buildings. It has specific temporal and spatial attributes, and its shape and state can change at a variety of spatial and temporal scales [1]. Land cover changes with time, mainly due to natural and human impacts. Natural forces, such as continental drift, glacier action, floods, and tsunamis, in addition to human forces, such as the transformation from forest to agriculture land, urban expansion, and the dynamic change in forest planting, have changed the types of land cover. Multitemporal remote sensing image change detection technology can be used to monitor the changes in the ecological environment and track urban development, which is of great significance for the study of the interaction between humans and the natural environment [4]
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