Fisheye Image Detection of Trees Using Improved YOLOX for Tree Height Estimation.

Jiayin Song, Yue Zhao, Wenlong Song, Hongwei Zhou, Di Zhu, Qiqi Huang, Yiming Fan, Chao Lu

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it

0cells of the map it votes in

3citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

From Detection to Maps: A Review of Automated Urban Tree Mapping Using UAV and High-Resolution Satellite Data.Journal of imaging · 2026
Review
Automatic Tree Height Measurement Based on Three-Dimensional Reconstruction Using Smartphone.Sensors (Basel, Switzerland) · 2023
Article
[A lightweight multiscale target object detection network for melanoma based on attention mechanism manipulation].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2022
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jiayin SongDepartment of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China.

Yue ZhaoDepartment of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China.

Wenlong SongDepartment of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China.

Hongwei ZhouDepartment of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China.ORCID 0000-0002-6030-9523

Di ZhuDepartment of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China.

Qiqi HuangDepartment of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China.

Yiming FanDepartment of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China.

Chao LuDepartment of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China.

Funding

Heilongjiang Provincial Natural Science Foundation of China YQ2020C018The Fundamental Research Funds for the Central Universities 2572017CB13

6 · The paper itself

Abstract

Tree height is an essential indicator in forestry research. This indicator is difficult to measure directly, as well as wind disturbance adds to the measurement difficulty. Therefore, tree height measurement has always been an issue that experts and scholars strive to improve. We propose a tree height measurement method based on tree fisheye images to improve the accuracy of tree height measurements. Our aim is to extract tree height extreme points in fisheye images by proposing an improved lightweight target detection network YOLOX-tiny. We added CBAM attention mechanism, transfer learning, and data enhancement methods to improve the recall rate, F

Indexed as

ForestryTreesdeep learningequidistant projectionfisheye imagetree height estimation

Identifiers

PMID35632044

DOI10.3390/s22103636

PMCPMC9148111

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.