ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume IV-3
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3, 91–96, 2018
https://doi.org/10.5194/isprs-annals-IV-3-91-2018
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3, 91–96, 2018
https://doi.org/10.5194/isprs-annals-IV-3-91-2018

  23 Apr 2018

23 Apr 2018

RESEARCH ON REMOTE SENSING GEOLOGICAL INFORMATION EXTRACTION BASED ON OBJECT ORIENTED CLASSIFICATION

Hui Gao Hui Gao
  • Chengdu Center, China Geological Survey, Chengdu, China

Keywords: Remote sensing geological information, Object oriented classification, Northern Tibet, High-resolution remote sensing data, Automatic extraction

Abstract. The northern Tibet belongs to the Sub cold arid climate zone in the plateau. It is rarely visited by people. The geological working conditions are very poor. However, the stratum exposures are good and human interference is very small. Therefore, the research on the automatic classification and extraction of remote sensing geological information has typical significance and good application prospect. Based on the object-oriented classification in Northern Tibet, using the Worldview2 high-resolution remote sensing data, combined with the tectonic information and image enhancement, the lithological spectral features, shape features, spatial locations and topological relations of various geological information are excavated. By setting the threshold, based on the hierarchical classification, eight kinds of geological information were classified and extracted. Compared with the existing geological maps, the accuracy analysis shows that the overall accuracy reached 87.8561 %, indicating that the classification-oriented method is effective and feasible for this study area and provides a new idea for the automatic extraction of remote sensing geological information.