Robust mosaicking of maize fields from aerial imagery.

ABSTRACT:

Premise

Aerial imagery from small unmanned aerial vehicle systems is a promising approach for high-throughput phenotyping and precision agriculture. A key requirement for both applications is to create a field-scale mosaic of the aerial imagery sequence so that the same features are in registration, a very challenging problem for crop imagery.

Methods

We have developed an improved mosaicking pipeline, Video Mosaicking and summariZation (VMZ), which uses a novel two-dimensional mosaicking algorithm that minimizes errors in estimating the transformations between successive frames during registration. The VMZ pipeline uses only the imagery, rather than relying on vehicle telemetry, ground control points, or global positioning system data, to estimate the frame-to-frame homograp

SUBMITTER: Aktar R 

PROVIDER: S-EPMC7507512 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature