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Environmental ScienceComputer Science

Scene Classification of High-Resolution Remotely Sensed Image Based on ResNet

Mingchang Wang, Xinyue Zhang, X. Niu, Fengyan Wang, Xuqing Zhang

2019.10.10Journal of Geovisualization and Spatial Analysis

DOI: 10.1007/s41651-019-0039-9

tlooto Summary

This study extracted the depth features of high-resolution remote sensing images using a residual learning network (ResNet), and low-level features, including color moment features and gray level co-occurrence matrix features, and created a classification model with the training support vector machine (SVM).

Abstract

Abstract is not available.

Citation format

WANG, Mingchang, et al. Scene classification of high-resolution remotely sensed image based on resnet. Journal of Geovisualization and Spatial Analysis, 2019, 3: 1–9.