Urban Greening Analysis: A Multimodal Large Language Model for Pinpointing Vegetation Areas in Adverse Weather Conditions
Urban green spaces are an important part of the urban ecosystem and hold significant ecological value. To effectively protect these green spaces, urban managers urgently need to identify them and monitor their changes. Common urban vegetation positioning methods use deep learning segmentation models...
Saved in:
Main Authors: | Hanzhang Liu, Shijie Yang, Chengwu Long, Jiateng Yuan, Qirui Yang, Jiahua Fan, Bingnan Meng, Zhibo Chen, Fu Xu, Chao Mou |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-06-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/17/12/2058 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on Medical Image Segmentation Based on SAM and Its Future Prospects
by: Kangxu Fan, et al.
Published: (2025-06-01) -
SAM2Former: Segment Anything Model 2 Assisting UNet-Like Transformer for Remote Sensing Image Semantic Segmentation
by: Xuewen Li, et al.
Published: (2025-01-01) -
SAM for Road Object Segmentation: Promising but Challenging
by: Alaa Atallah Almazroey, et al.
Published: (2025-06-01) -
Optimizing zero-shot text-based segmentation of remote sensing imagery using SAM and Grounding DINO
by: Mohanad Diab, et al.
Published: (2025-06-01) -
Toward unsupervised building extraction from very high-resolution remote sensing images using SAM and CLIP
by: Chenxiao Zhang, et al.
Published: (2025-12-01)