Urban Features Extraction from UAV Remote Sensing Data and Images

Dear Colleagues,

For urban planners and decision-makers, the built-up urban area is an important reference for assessing the city’s level of development and planning future changes. For this reason, remote sensing technologies play an important role in efficiently extracting multiple urban characteristics. Urban feature extraction includes a wide range of infrastructure such as roads, buildings footprints, bridges, railroads, airports, etc. Remote sensing encompasses a large spectrum of platforms for acquiring imagery, such as satellites, unmanned aerial vehicles (UAVs), and survey aircraft. This Special Issue is to capture the latest developments in remote sensing platforms, algorithms, and methodologies for acquiring and processing image/data to extract and model urban features. We welcome submissions that provide the scientific community with the most recent advancements in urban feature extraction and modeling from remote sensing data and images.

Potential topics include but are not limited to:

• Fusion and integration of multisensor data;
• Image segmentation and classification algorithms to extract urban features;
• Machine and deep learning methods for extracting urban features;
• Image acquisition using UAV platforms;
• Big data handling to extract urban features;
• Image enhancement and correction.

Dr. Kate Saenko
Dr. Kimhung Pho
Prof. Dr. Jie Yuan
Guest Editors

Manuscript Submission Information

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