Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Methods of Obtaining Topography01:25

Methods of Obtaining Topography

Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point served as...
Application of Linearization and Approximation01:29

Application of Linearization and Approximation

A drone flying through complex terrain often relies on more than one sensing method to estimate small changes in altitude. Along with direct measurements, air pressure provides a useful indirect indicator of vertical movement. Atmospheric pressure decreases as altitude increases, and this relationship is commonly described using an exponential model. Although accurate, converting pressure measurements into altitude values requires calculations that are too complex to perform repeatedly during...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Total laparoscopic multi-compartment reconstruction via single-port lateral suspension: a novel mesh configuration based on the integral theory.

Journal of surgical case reports·2026
Same author

Efficacy and safety of allogeneic umbilical cord blood mononuclear cells therapy in children with autism spectrum disorder and immune dysregulation: a single-center, double-blinded, randomized, placebo-controlled trial.

Stem cell research & therapy·2026
Same author

Clinical efficacy and predictive model development for levetiracetam in children with newly diagnosed epilepsy of unknown etiology.

Translational pediatrics·2026
Same author

Molecular characterization and expression analysis of tiger puffer (Takifugu rubripes) interferon regulatory factor in response to Vibrio harveyi infection.

Fish & shellfish immunology·2026
Same author

Structure-Based Design and Optimization of Novel PHGDH Inhibitors for Overcoming Erlotinib-Resistant Lung Cancer.

Journal of medicinal chemistry·2026
Same author

Gut Microbiota-Mediated Modulation of Intestinal Serotonin by Tea Polyphenols: Potential Mechanisms and Implications for Metabolic Health.

Nutrients·2026

Related Experiment Video

Updated: Jun 19, 2026

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
12:08

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

24.5K

An Improved Instance Segmentation Method for Complex Elements of Farm UAV Aerial Survey Images.

Feixiang Lv1, Taihong Zhang1,2,3, Yunjie Zhao1,2,3

  • 1School of Computer and Information Engineering, Xinjiang Agricultural University, Urumqi 830052, China.

Sensors (Basel, Switzerland)
|September 28, 2024
PubMed
Summary

This study introduces an improved SparseInst algorithm for high-precision farm aerial imagery segmentation. The enhanced model accurately identifies complex farm targets, outperforming existing methods with fewer parameters.

Keywords:
SparseInstattention mechanismfarm aerial surveyimage processinginstance segmentation

More Related Videos

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
11:49

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Published on: February 2, 2019

9.2K
Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.3K

Related Experiment Videos

Last Updated: Jun 19, 2026

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
12:08

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

24.5K
Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
11:49

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Published on: February 2, 2019

9.2K
Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.3K

Area of Science:

  • Agricultural Engineering
  • Computer Vision
  • Remote Sensing

Background:

  • Traditional farm layer construction is inefficient and costly.
  • Accurate segmentation of farm elements is crucial for unmanned operations like path planning and early warnings.

Purpose of the Study:

  • To develop a high-precision instance segmentation algorithm for farm aerial imagery.
  • To improve the efficiency and reduce the cost of creating farm survey layers.

Main Methods:

  • Proposed a SparseInst-based algorithm incorporating a multi-scale attention module (MSA) with atrous convolution.
  • Integrated a bottom-up aggregation path into the feature pyramid fusion network.
  • Incorporated coordinate attention blocks (CAs) into the model's neck for enhanced semantic understanding.

Main Results:

  • The improved SparseInst model achieved superior segmentation accuracy for complex farm targets compared to Mask R-CNN and Cascade-Mask.
  • Demonstrated accuracy improvements of 10.8% and 12.8% over SOLOv2 and Condinst, respectively.
  • The model requires the smallest number of parameters among the compared methods and supports real-time segmentation.

Conclusions:

  • The proposed algorithm effectively segments diverse and complex targets in farm aerial imagery.
  • This method offers a cost-effective and accurate solution for generating farm survey layers.
  • The model is suitable for real-time applications in challenging farm environments.