JOURNAL ARTICLE

Updating Farmland Satellite Imagery Using High Resolution Aerial Images

Abstract

This paper presents a new approach for updating farmland satellite imagery by registering it with high resolution aerial images. It is based on Field Boundary Junction (FBJ) as feature for registration. Fields connected to FBJ are grouped together to form FBJ descriptor. Fields are described by sampling Field Boundaries (FB) relative to FBJ locations. Every field gets different description for each FBJ connected to it. It makes FBJ descriptor unique and helps in finding the correct FBJ matches reliably. It is invariant to scaling, in-plane rotation and translation. Experimental results also show its invariance to non rigid transformations, splitting/merging of fields and localization errors in FBs and FBJs.

Keywords:
Invariant (physics) Satellite Computer vision Remote sensing Rotation (mathematics) Translation (biology) Field (mathematics) High resolution Artificial intelligence Scaling Computer science Boundary (topology) Chemistry Geology Mathematics Geometry Engineering Aerospace engineering Mathematical analysis

Metrics

1
Cited By
0.00
FWCI (Field Weighted Citation Impact)
11
Refs
0.07
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Satellite Image Processing and Photogrammetry
Physical Sciences →  Engineering →  Ocean Engineering

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