Extraction of Cropland Based on Multi-Source Remote Sensing and an Improved Version of the Deep Learning-Based Segment Anything Model (SAM)

Extraction of Cropland Based on Multi-Source Remote Sensing and an Improved Version of the Deep Learning-Based Segment Anything Model (SAM)

Fine extraction of cropland parcels is an essential prerequisite for achieving precision agriculture. Remote sensing technology, due to its large-scale and multi-dimensional characteristics, can effectively enhance the efficiency of collecting information on agricultural land parcels. Currently, sem...

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Bibliographic Details
Main Authors: Kunjian Tao, He Li, Chong Huang, Qingsheng Liu, Junyan Zhang, Ruoqi Du
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Agronomy
Subjects:
cropland
remote sensing
semantic segmentation
SAM
prompt generation module
multimodal satellite data
Online Access:https://www.mdpi.com/2073-4395/15/5/1139
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