4 citations · 4 across the 1 of their papers we have counts for
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The Segment Anything Model (SAM) for Remote Sensing Applications: From Zero to One Shot
Lucas Prado Osco, Qiusheng Wu, Eduardo Lopes de Lemos +4
Segmentation is an essential step for remote sensing image processing. This study aims to advance the application of the Segment Anything Model (SAM), an innovative image segmentat…
The Potential of Visual ChatGPT For Remote Sensing
Lucas Prado Osco, Eduardo Lopes de Lemos, Wesley Nunes Gonçalves +2
Recent advancements in Natural Language Processing (NLP), particularly in Large Language Models (LLMs), associated with deep learning-based computer vision techniques, have shown s…
A Deep Learning Approach Based on Graphs to Detect Plantation Lines
Diogo Nunes Gonçalves, Mauro dos Santos de Arruda, Hemerson Pistori +8
Deep learning-based networks are among the most prominent methods to learn linear patterns and extract this type of information from diverse imagery conditions. Here, we propose a…