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Original Articles

Geographic object-based image analysis (GEOBIA): emerging trends and future opportunities

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 159-182 | Received 07 Nov 2017, Accepted 31 Dec 2017, Published online: 18 Jan 2018

Figures & data

Figure 1. A classic GEOBIA research framework.

Figure 1. A classic GEOBIA research framework.

Figure 2. Nontraditional data types and image-objects.

Figure 2. Nontraditional data types and image-objects.

Figure 3. Workflow of deep convolutional neural networks (CNNs) for semantic segmentation.

Figure 3. Workflow of deep convolutional neural networks (CNNs) for semantic segmentation.

Figure 4. Object-based features extracted at three scales within (a) image-objects, (b) neighborhood image-objects, and (c) individual communities (e.g., urban blocks).

Figure 4. Object-based features extracted at three scales within (a) image-objects, (b) neighborhood image-objects, and (c) individual communities (e.g., urban blocks).

Figure 5. Residential versus commercial buildings from 2D to 3D (image credit: Google Map©).

Figure 5. Residential versus commercial buildings from 2D to 3D (image credit: Google Map©).

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