![Sample our Environment & Sustainability journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5935/TOC-Subject-Sample-2021-Environment-Sustainability.jpg"})
Abstract
This article reports preliminary results of using a spatial dependence approach to retrieving industrial building complexes from digital aerial photographs. Because image retrieval was originally developed outside geography, this paper first discusses the principle of image retrieval in the context of geographic studies, the basic types of geographic features for retrieval, and the spatially dependent nature of geographic features. Based on these discussions, the spatial dependence approach is presented for the intended retrieval. Semivariogram is used to represent the spatial dependence of geographic features and for the subsequent retrieval of these features. Results show the effectiveness of this approach and warrant further investigations.
Notes
*This project was funded in part by the National Imagery and Mapping Agency (NMA202-98-k-1062). The authors would like to thank Zongxiang Yang and Nancy Chin for their assistance in the research. Mary Hofmeier provided generous help in data preparation and in the development of the master map. The insightful comments and suggestions made by three anonymous reviewers helped improve the clarity and the overall quality of the manuscript.