Tree-Gpt: Modular Large Language Model Expert System for Forest Remote Sensing Image Understanding and Interactive Analysis
S. Q. Du,
S. J. Tang,
W. X. Wang
et al.
Abstract:Abstract. This paper introduces a novel framework, Tree-GPT, which incorporates Large Language Models (LLMs) into the forestry remote sensing data workflow, thereby enhancing the efficiency of data analysis. Currently, LLMs are unable to extract or comprehend information from images and may generate inaccurate text due to a lack of domain knowledge, limiting their use in forestry data analysis. To address this issue, we propose a modular LLM expert system, Tree-GPT, that integrates image understanding modules,… Show more
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