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

Extraction: Advanced Methods00:56

Extraction: Advanced Methods

1.0K
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
1.0K
Methods of Obtaining Topography01:25

Methods of Obtaining Topography

262
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,...
262
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

666
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
666

You might also read

Related Articles

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

Sort by
Same author

The GmCYCLOPS paralogs regulate soybean nodulation and exhibit signatures during domestication.

Plant science : an international journal of experimental plant biology·2026
Same author

DsbA-L safeguards T cell mitochondrial redox homeostasis to restrain Th17 differentiation and colitis.

Cell death & disease·2026
Same author

Comparison of Endoscopic Cap External Snare Resection (ECESR) and Endoscopic Muscularis Dissection (EMD) for Small Gastric Submucosal Tumors (≤ 12 mm) Emerging from the Muscularis propria.

Digestive diseases and sciences·2026
Same author

Cross-population QTL mapping and association analysis identify breeding-ready markers for high seed protein content in elite soybean accession HJ117.

Gene·2026
Same author

Fine mapping and candidate gene analysis of a major QTL qHSW_11 for seed weight in soybean.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2026
Same author

Genome-wide association studies reveal environment-dependent genetic associations for plant architecture in regional soybean germplasm.

The plant genome·2026
Same journal

Analysis of strength degradation of coal and rock masses and stability of mined areas under long term immersion environment.

PloS one·2026
Same journal

Biogenic Silver-Selenium nanocomposite with anticancer activity and potent efficacy against vancomycin-resistant Staphylococcus aureus.

PloS one·2026
Same journal

Preparation and physicochemical characterization of a biodegradable chitosan/carboxymethyl cellulose hydrogel synthesized in NaOH/urea medium.

PloS one·2026
Same journal

Action-guilt, survivor-guilt, and depression in combat-related PTSD.

PloS one·2026
Same journal

Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.

PloS one·2026
Same journal

Deep learning based two-way feature depiction model for brain tumor detection.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Jan 9, 2026

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.6K

Building extraction from remote sensing imagery using SegFormer with post-processing optimization.

Deliang Li1,2,3,4, Tao Liu1,2,3, Haokun Wang5

  • 1Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, Gansu, China.

Plos One
|December 8, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces an efficient SegFormer model for accurate building extraction from remote sensing images. The method enhances geographic information system applications with improved accuracy and scalability.

More Related Videos

Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

648
Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

434

Related Experiment Videos

Last Updated: Jan 9, 2026

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.6K
Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

648
Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

434

Area of Science:

  • Remote Sensing
  • Geographic Information Systems (GIS)
  • Artificial Intelligence (AI)

Background:

  • Traditional building extraction methods face limitations in speed, adaptability, and data processing.
  • Advancements in AI, machine learning, and deep learning offer improved solutions for remote sensing image analysis.
  • Accurate building extraction is vital for urban planning, resource management, and ecological monitoring.

Purpose of the Study:

  • To propose an efficient and accurate building extraction method for remote sensing images.
  • To leverage the SegFormer model for high-precision semantic segmentation of buildings.
  • To refine extraction results using post-processing techniques for enhanced accuracy and visual presentation.

Main Methods:

  • Utilized the SegFormer model, a Transformer-based architecture for semantic segmentation, featuring a hierarchical encoder and lightweight MLP decoder.
  • Implemented a workflow encompassing data preparation, model construction, deployment, and application.
  • Applied post-processing techniques including noise filtering, boundary cleanup, and building regularization.

Main Results:

  • The SegFormer model, with the MiT-B5 backbone, achieved a 94.13% Intersection over Union (IoU) on the WHU building dataset after 100 epochs.
  • Demonstrated effectiveness across diverse terrains including urban, rural, and mountainous areas.
  • Validated the method's robustness and scalability in remote sensing image analysis.

Conclusions:

  • The proposed SegFormer-based method offers a significant improvement over traditional techniques for building extraction.
  • The approach provides a robust and scalable solution for accurate building extraction in geographic information systems.
  • This work lays a strong technical foundation for advanced remote sensing image analysis and GIS applications.