Fig 1.
RS image of Yesanpo National Park (Republished from [https://directory.eoportal.org/web/eoportal/satellite-missions/g/gaofen-2] under a CC BY license, with permission from [Hebei Zhongke Sino Star Information Technology Co., Ltd], original copyright [2018]).
Fig 2.
RS images at different segmentation scales.
(a) 20; (b) 50; (c) 100; (d) 120; (e) 150; and (f) 200 (Republished from [https://directory.eoportal.org/web/eoportal/satellite-missions/g/gaofen-2] under a CC BY license, with permission from [Hebei Zhongke Sino Star Information Technology Co., Ltd], original copyright [2018]).
Fig 3.
Chart of identification rules of scenic resources.
Fig 4.
Combination of feature parameters for scenic resource identification in the national park.
Table 1.
Initial classification characteristics of scenic resources.
Fig 5.
Effects of scenic resource identification after segmentation (using forest as an example).
(a) Mountain and (b) residential areas (Republished from [https://directory.eoportal.org/web/eoportal/satellite-missions/g/gaofen-2] under a CC BY license, with permission from [Hebei Zhongke Sino Star Information Technology Co., Ltd], original copyright [2018]).
Table 2.
Evaluation indicators for classification accuracy.
Fig 6.
Object-oriented classification of Baili Gorge (Republished from [https://directory.eoportal.org/web/eoportal/satellite-missions/g/gaofen-2] under a CC BY license, with permission from [Hebei Zhongke Sino Star Information Technology Co., Ltd], original copyright [2018]).
Table 3.
Confusion matrix for the object-oriented classification of Baili Gorge.
Table 4.
Accuracy of the object-oriented classification of Baili Gorge.
Fig 7.
Object-oriented classification of Longmen Tianguan (Republished from [https://directory.eoportal.org/web/eoportal/satellite-missions/g/gaofen-2] under a CC BY license, with permission from [Hebei Zhongke Sino Star Information Technology Co., Ltd], original copyright [2018]).
Table 5.
Confusion matrix for the object-oriented classification of Longmen Tianguan.
Table 6.
Accuracy of the object-oriented classification of Longmen Tianguan.
Fig 8.
Object-oriented classification of Yugu Cave (Republished from [https://directory.eoportal.org/web/eoportal/satellite-missions/g/gaofen-2] under a CC BY license, with permission from [Hebei Zhongke Sino Star Information Technology Co., Ltd], original copyright [2018]).
Table 7.
Confusion matrix for object-oriented classification of Yugu Cave.
Table 8.
Accuracy of object-oriented classification of Yugu Cave.
Fig 9.
NN parameter settings.
Fig 10.
SVM parameter settings.
Table 9.
Accuracy evaluation of pixel-based and object-oriented classifications.