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A review of building extraction from remote sensing imagery: Geometrical structures and semantic attributes
In the remote sensing community, extracting buildings from remote sensing imagery has
triggered great interest. While many studies have been conducted, a comprehensive review …
triggered great interest. While many studies have been conducted, a comprehensive review …
Deep learning for processing and analysis of remote sensing big data: A technical review
In recent years, the rapid development of Earth observation technology has produced an
increasing growth in remote sensing big data, posing serious challenges for effective and …
increasing growth in remote sensing big data, posing serious challenges for effective and …
Directionally constrained fully convolutional neural network for airborne LiDAR point cloud classification
Point cloud classification plays an important role in a wide range of airborne light detection
and ranging (LiDAR) applications, such as topographic map**, forest monitoring, power …
and ranging (LiDAR) applications, such as topographic map**, forest monitoring, power …
Building footprint extraction from high resolution aerial images using generative adversarial network (GAN) architecture
Building extraction with high accuracy using semantic segmentation from high-resolution
remotely sensed imagery has a wide range of applications like urban planning, updating of …
remotely sensed imagery has a wide range of applications like urban planning, updating of …