This letter presents a novel approach for extracting accurate outlines of individual buildings
from very high-resolution (0.1-0.4 m) optical images. Building outlines are defined as …

Differences in acquisition time, light conditions, and viewing angle create significant
differences among the airborne remote sensing images from Unmanned Aerial Vehicles …

Due to the inherent limitations of matching algorithms and the complexities associated with
image contents, mismatches are inevitable and can have detrimental effects on downstream …

In order to improve the effect of image stitching and eliminate the gap between images
caused by the uneven local brightness of the image in the process of stitching, an improved …

Heterogeneous high-resolution remote sensing image matching will be disturbed by the
differences in sensor type, imaging angle, height, and imaging time, and the matching …

Building shape, as a key structured element, plays a significant role in various urban remote
sensing applications. However, because of high complexity and intraclass variations …

We present a robust scene-matching (SM) algorithm using time-invariant features that are
propagated and bounded by a model propagator and pixel boundary. The SM based …

Aerial images have features of high resolution, complex background, and usually require
large amounts of calculation, however, most algorithms used in matching of aerial images …

Nowadays satellite and aerial imagery provide High Resolution (HR) and Very High
Resolution (VHR) time series orthophotos. Image classification and object detection is an …

Building damage detection after natural disasters like earthquakes is crucial for initiating
effective emergency response actions. Remotely sensed very high spatial resolution (VHR) …