On the public citation graph

A Novel Method for Accurate Tree Counting in Development Projects Using Canny Gaussian Hysteresis Contour (Cghc) - an Advanced Image Analysing Technology

0 signed · 19 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1109/access.2018.2884199openalex-extracted

Remote Sensing: An Automated Methodology for Olive Tree Detection and Counting in Satellite Images

inferredcites →https://doi.org/10.1109/access.2020.2999078openalex-extracted

An Automated Method for Detection and Enumeration of Olive Trees Through Remote Sensing

inferredcites →https://doi.org/10.1109/aicera/icis59538.2023.10420106openalex-extracted

Enhancing Breast Cancer Prediction Through SVM-Based Analysis

inferredcites →https://doi.org/10.1109/aicera/icis59538.2023.10420298openalex-extracted

Design and Implementation of a Chatbot for Automated Legal Assistance using Natural Language Processing and Machine Learning

inferredcites →https://doi.org/10.1109/beiac.2013.6560255openalex-extracted

Diversity and tree species community at Bukit Nanas Forest Reserve, Kuala Lumpur

inferredcites →https://doi.org/10.1109/cisp.2011.6100501openalex-extracted

A textural modification of the MMAC algorithm for individual tree delineation in forest stand using aerial bitmap images

inferredcites →https://doi.org/10.1109/cisp.2015.7407976openalex-extracted

Classification of dominant tree species in an urban forest park using the remote sensing image of WorldView-2

inferredcites →https://doi.org/10.1109/csae.2012.6272879openalex-extracted

Research on forest visualization system based on data cube

inferredcites →https://doi.org/10.1109/hnicem51456.2020.9400002openalex-extracted

A Decision Tree-based Classification of Diseased Pine and Oak Trees Using Satellite Imagery

inferredcites →https://doi.org/10.1109/icaiss58487.2023.10250543openalex-extracted

X-Ray Image Analysis using Deep Learning Techniques to Identify Pneumonia

inferredcites →https://doi.org/10.1109/icscss57650.2023.10169586openalex-extracted

Revolutionizing Malaria Diagnosis: A Deep Learning Approach

inferredcites →https://doi.org/10.1109/icsdm.2015.7298054openalex-extracted

Classifying forest stands based on multi-scale structure features using Quickbird image

inferredcites →https://doi.org/10.1109/igarss.2009.5417772openalex-extracted

Mapping urban tree coverage using object-oriented image analysis method: A case study

inferredcites →https://doi.org/10.1109/igarss.2017.8127080openalex-extracted

Individual tree-based species classification for uneven-aged, mixed-deciduous forests using multi-seasonal WorldView-3 images

inferredcites →https://doi.org/10.1109/igarss.2018.8519000openalex-extracted

Change Analysis of Subalpine Coniferous Forest Area over the Last 20 Years using Time-series Landsat Images

inferredcites →https://doi.org/10.1109/ssiai.2016.7459181openalex-extracted

Land cover classification in fused multisensor multispectral satellite imagery

inferredcites →https://doi.org/10.1109/tgrs.2019.2942201openalex-extracted

Tree Annotations in LiDAR Data Using Point Densities and Convolutional Neural Networks

inferredcites →https://doi.org/10.3390/rs15245679openalex-extracted

Tree Species Classification from Airborne Hyperspectral Images Using Spatial–Spectral Network

inferredcites →https://doi.org/10.4108/eai.29-4-2021.169428openalex-extracted

Framework for Tree Crown Delineation from Panchromatic Images

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.