LEAF: A Lightweight Language-Enhanced Model for Forestry Analysis in Remote Sensing Imagery

Effective monitoring of deforestation requires accurate interpretation of satellite imagery, where domain expertise and computational efficiency are critical. General purpose vision language models (VLMs) perform well on natural images but struggle in remote sensing (RS), where spatial structure and...

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Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Sanjar Karshiev, Faisal Saeed, Jaesin Ahn, Abdul Rehman, Muhammad Diyan, Shrooq Alsenan, Heechul Jung
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	IEEE 2026-01-01
Σειρά:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Θέματα:	Deforestation monitoring multilabel land use land cover classification parameter-efficient fine-tuning (PEFT) real-time analysis remote sensing (RS) vision–language models (VLM)
Διαθέσιμο Online:	https://ieeexplore.ieee.org/document/11426873/
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