Detection and classification of non-photosynthetic vegetation from PRISMA hyperspectral data in croplands

M Pepe, L Pompilio, B Gioli, L Busetto, M Boschetti - Remote Sensing, 2020 - mdpi.com
This study introduces a first assessment of the capabilities of PRISMA (PRecursore
IperSpettrale della Missione Applicativa)—the new hyperspectral satellite sensor of the …

结合Sentinel-2 光谱与纹理信息的冬小麦作物茬覆盖度估算.

蔡文婷, 赵书河, 王亚梅… - Journal of Remote …, 2020 - search.ebscohost.com
作物茬覆盖度的估算对于探究农业耕作方式对周围环境的影响具有十分重要的意义. 目前,
基于多光谱影像的作物茬指数是作物茬覆盖度估算的常用方法. 然而, 在作物茬高覆盖区域 …

SAR 与光学遥感影像的玉米秸秆覆盖度估算

刘之榆, 刘忠, 万炜, 黄晋宇, 王佳莹, 郑曼迪 - 遥感学报, 2021 - ygxb.ac.cn
秸秆是农田生态系统的重要组成部分. 秸秆覆盖度(CRC) 的遥感估算可以大范围,
快速地获取地面秸秆覆盖信息, 对保护性耕作的推广具有十分重要的意义. 基于Sentinel-1 SAR …

Maize residue segmentation using Siamese domain transfer network

L Li, J Li, C Lv, Y Yuan, B Zhao - Computers and Electronics in Agriculture, 2021 - Elsevier
Maize residue detection is an essential factor for conservation tillage; however, traditional
methods are not robust for complex environments. Deep neural networks can learn multi …

Sh-DeepLabv3+: An Improved Semantic Segmentation Lightweight Network for Corn Straw Cover Form Plot Classification

Y Wang, X Gao, Y Sun, Y Liu, L Wang, M Liu - Agriculture, 2024 - mdpi.com
Straw return is one of the main methods for protecting black soil. Efficient and accurate straw
return detection is important for the sustainability of conservation tillage. In this study, a rapid …