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November 16, 2025Remote Sensing0 citationsOpen Access

Hierarchical Prompting Framework for Remote Sensing Scene Classification

Hierarchical Prompt Engineering for Remote Sensing Scene Understanding with Large Vision–Language Models

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Authors

TCTianyang ChenJAJianliang Ai

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Overview

Hierarchical prompting improves classification in remote sensing, highlighting reproducibility and model performance.

Key Points

  • Hierarchical prompting enhances classification in remote sensing scenes, showing consistent improvements.
  • Experiments demonstrated robust performance using confusion matrices across multiple label granularity variants.
  • Analysis involved systematic evaluation of prompt designs and adaptation strategies under reproducibility constraints.
  • The proposed framework serves as a strong baseline for remote-sensing tasks, emphasizing computational efficiency.

Cite This Study

Chen et al. (2025) studied this question.

synapsesocial.com/papers/6925198ec0ce034ddc353415https://doi.org/10.3390/rs17223727
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Also Consider

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  1. 1Hierarchical Prompt Engineering for Remote Sensing Scene Understanding with Large Vision-Language Models2025
  2. 2Exploring the Potential of VLMs in Remote Sensing through Prompt Optimization2025
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  4. 4Two-Stage Fine-Tuning of Large Vision-Language Models with Hierarchical Prompting for Few-Shot Object Detection in Remote Sensing Images2026 · 4 citations
  5. 5Meta-Prompting with Open-Source Language Models for Zero-Shot Scene Classification in Remote Sensing2026