Research on identification and extraction of crop plants in plateau mountainous areas based on multi-dimensional features-Reference-Cited by-同舟云学术

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Research on identification and extraction of crop plants in plateau mountainous areas based on multi-dimensional features

Published:2024-08-27 Issue: Volume: Page:1-28
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Yin Linjiang¹^ORCID,Zhou Zhongfa²³,Zhao Weiquan¹²³,Liao Yanmei⁴,Huang Denghong²³,Li Wei¹

Affiliation:

1. Guizhou Academy of Sciences, Institute of Mountain Resources of Guizhou Province, Guiyan, China

2. School of Karst Science/School of Geography & Environmental Science, Guizhou Normal University, Guiyang, China

3. State Engineering Technology Institute for Karst Desertification Control, Guiyang, China

4. Guizhou Institute of Natural Resources Survey and Planning Research, Guiyang, China

Funder

Guizhou Provincial Basic Research Program

Guizhou Provincial Science and Technology Support Program Project

Guizhou National Architecture and Cultural Heritage

Guizhou Academy of Sciences

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2024.2391080

Reference36 articles.

1. Soil erosion and degradation assessment integrating multi-parametric methods of RUSLE model, RS, and GIS in the Shaqlawa agricultural area, Kurdistan Region, Iraq

2. Comprehensive wheat lodging detection after initial lodging using UAV RGB images

3. Optimized Deep Learning Model as a Basis for Fast UAV Mapping of Weed Species in Winter Wheat Crops

4. Monitoring of Wheat Growth Status and Mapping of Wheat Yield’s within-Field Spatial Variations Using Color Images Acquired from UAV-camera System

5. Mobile terrestrial laser scanner vs. UAV photogrammetry to estimate woody crop canopy parameters – Part 1: Methodology and comparison in vineyards

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