Abstract
Residential land (RL), as a typical kind of urban functional zone, plays an important role in urban planning and land census. Recent years have witnessed frequent changes in RL via the process of urbanization. The extraction of RL from high spatial resolution optical images can reflect the status quo of land use/land cover to a certain extent, which is of great significance to land census and urban planning. We adopt a scene classification strategy to extract RL and mainly focus on the extraction of four common types of RL in China: old-style village, low-density high-rise, medium-density low-rise, and low-density low-rise. We design a multifeature hierarchical (MFH) algorithm for RL extraction. First, RL is extracted based on the gray level concurrence matrix and a fuzzy classification algorithm. Then an improved bag-of-visual-words algorithm is introduced to further realize the extraction of RL. The effectiveness of our proposed method is analyzed with a sample dataset and large images. We also analyze the separability among different kinds of RL. We compare the experimental results with those of three other algorithms, and the results demonstrate that the MFH algorithm performs better in terms of the accuracy and efficiency of the RL extraction. The results can provide services for land surveying and urban planning, and the technological processes and experimental design in the algorithm can provide a reference for the research in related fields.
Highlights
With the rapid development of urbanization, the effective use and management of urban land have attracted extensive attention
For the features and models, we proposed a multifeature hierarchical (MFH) method to extract Residential land (RL), and the validity of our algorithm was verified by large area images
Classes 1/2/3/4/5/6 can be distinguished from RL, many samples of RL have not been extracted; Table 4 Experimental result of the gray level concurrence matrix (GLCM)-FC algorithm under the condition of convolution in sample dataset
Summary
With the rapid development of urbanization, the effective use and management of urban land have attracted extensive attention. The places where people partake in different socioeconomic activities are divided into different functional zones.[1] Residential land (RL), as a typical functional zone, is the most extensive land use type in cities, and it can reflect the situation of land use to a certain extent. It is one of the most transformed land use/land cover (LULC) types in the process of urbanization in China. Functional zones are spatially aggregated by different land-cover objects, and their categories are semantically abstracted from land use functions,[22]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
