A survey of digital map processing techniques

YY Chiang, S Leyk, CA Knoblock - ACM Computing Surveys (CSUR), 2014 - dl.acm.org
Maps depict natural and human-induced changes on earth at a fine resolution for large
areas and over long periods of time. In addition, maps—especially historical maps—are …

A survey on feature selection approaches for clustering

E Hancer, B Xue, M Zhang - Artificial Intelligence Review, 2020 - Springer
The massive growth of data in recent years has led challenges in data mining and machine
learning tasks. One of the major challenges is the selection of relevant features from the …

Color image quantization: a short review and an application with artificial bee colony algorithm

C Ozturk, E Hancer, D Karaboga - Informatica, 2014 - content.iospress.com
Color quantization is the process of reducing the number of colors in a digital image. The
main objective of quantization process is that significant information should be preserved …

[图书][B] Using historical maps in scientific studies: Applications, challenges, and best practices

YY Chiang, W Duan, S Leyk, JH Uhl, CA Knoblock - 2019 - dl.acm.org
This book illustrates the first connection between the map user community and the
developers of digital map processing technologies by providing several applications …

Automatic road extraction from remote sensing imagery using ensemble learning and postprocessing

J Li, Y Meng, D Dorjee, X Wei, Z Zhang… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
High-resolution satellite images contain valuable road semantic information, but the
occlusion of vegetation and buildings and the sparse distribution and heterogeneous …

Leveraging uncertainty estimation and spatial pyramid pooling for extracting hydrological features from scanned historical topographic maps

S Wu, M Heitzler, L Hurni - GIScience & Remote Sensing, 2022 - Taylor & Francis
Historical maps are almost the exclusive source to trace back the characteristics of earth
before modern earth observation techniques came into being. Processing historical maps is …

Improved clustering criterion for image clustering with artificial bee colony algorithm

C Ozturk, E Hancer, D Karaboga - Pattern Analysis and Applications, 2015 - Springer
In this paper, a new objective function is proposed for image clustering and is applied with
the artificial bee colony (ABC) algorithm, the particle swarm optimization algorithm and the …

A review of recent advances in scanned topographic map processing

T Liu, P Xu, S Zhang - Neurocomputing, 2019 - Elsevier
Historical topographic maps carry huge information of this planet over a very long period.
Geographic information extraction from topographic map (TM) is helpful for understanding …

Automatic alignment of geographic features in contemporary vector data and historical maps

W Duan, YY Chiang, CA Knoblock, V Jain… - Proceedings of the 1st …, 2017 - dl.acm.org
With large amounts of digital map archives becoming available, the capability to
automatically extracting information from historical maps is important for many domains that …

A nightshade crop leaf disease detection using enhance-nightshade-CNN for ground truth data

BM Joshi, H Bhavsar - The Visual Computer, 2024 - Springer
In the fast-growing agricultural world, early detection of plant diseases is crucial for
maintaining crop health and ensuring successful harvests. Advancements in computer …