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Qingtian Ke and Peng Zhang
Change detection based on bi-temporal remote sensing images has made significant progress in recent years, aiming to identify the changed and unchanged pixels between a registered pair of images. However, most learning-based change detection methods only...
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Xian Li, Shuhe Zhao, Hong Yang, Dianmin Cong and Zhaohua Zhang
Land use and cover change (LUCC) is important for the global biogeochemical cycle and ecosystem. This paper introduced a change detection method based on a bi-band binary mask and an improved fuzzy c-means algorithm to research the LUCC. First, the bi-ba...
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Yuan Guo, Jian Zhou, Xicheng Li, Youchen Tang and Zhicheng Lv
High-definition (HD) maps serve as crucial infrastructure for autonomous driving technology, facilitating vehicles in positioning, environmental perception, and motion planning without being affected by weather changes or sensor-visibility limitations. M...
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Ibrahim Abdoul Nasser and Elhadi Adam
Urbanisation is the process whereby cities are transformed into large sprawling areas. Urbanisation combined with a continuous increase in population makes food security crucial for sustainable development. Urbanisation poses a threat to agricultural lan...
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Zhu Zhu, Tinggang Zhou, Jinsong Chen, Xiaoli Li, Shanxin Guo, Longlong Zhao and Luyi Sun
Change detection for remote sensing images.
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Rui Xin, Linfang Ding, Bo Ai, Min Yang, Ruoxin Zhu, Bin Cao and Liqiu Meng
Bike-sharing data are an important data source to study urban mobility in the context of the coronavirus disease 2019 (COVID-19). However, studies that focus on different bike-sharing activities including both riding and rebalancing are sparse. This limi...
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Francesco Lodato, Nicola Colonna, Giorgio Pennazza, Salvatore Praticò, Marco Santonico, Luca Vollero and Maurizio Pollino
This study analyzes, through remote sensing techniques and innovative clouding services, the recent land use dynamics in the North-Roman littoral zone, an area where the latest development has witnessed an important reconversion of purely rural areas to ...
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Carmine Massarelli, Maria Silvia Binetti, Mariangela Triozzi and Vito Felice Uricchio
The topic of diffuse pollution is of particular interest from technical, scientific, and administrative management points of view. Diffuse pollution is defined as the contamination or chemical, physical, or biological alterations of environmental matrice...
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Antonella Falini
The Earth?s observation programs, through the acquisition of remotely sensed hyperspectral images, aim at detecting and monitoring any relevant surface change due to natural or anthropogenic causes. The proposed algorithm, given as input a pair of hypers...
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Emmanouil Psomiadis
The present study provides information about the evolution of the Sperchios River deltaic area over the last 6500 years. Coastal changes, due to natural phenomena and anthropogenic activities, were analyzed utilizing a variety of geospatial data such as ...
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Norhafizi Mohamad, Anuar Ahmad, Mohd Faisal Abdul Khanan and Ami Hassan Md Din
Estimating surface elevation changes in mangrove forests requires a technique to filter the mangrove canopy and quantify the changes underneath. Hence, this study estimates surface elevation changes underneath the mangrove canopy through vegetation filte...
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Zhuoran Jiang, Xinxin Zhou, Wei Cao, Zaihong Sun and Changbin Wu
In recent years, deep learning has become the mainstream development direction in the change-detection field, and its accuracy and speed have also reached a high level. However, the change-detection method based on deep learning cannot predict all the ch...
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Martin Schorcht, Robert Hecht and Gotthard Meinel
We compare different matching methods for distinguishing building modifications from replacements based on multi-temporal building footprint geometries from 3D city models. Manually referenced footprints of building changes were used to determine which t...
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Grayson R. Morgan, Cuizhen Wang, Zhenlong Li, Steven R. Schill and Daniel R. Morgan
Deep learning techniques are increasingly being recognized as effective image classifiers. Aside from their successful performance in past studies, the accuracies have varied in complex environments, in comparison with the popularly of applied machine le...
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Ba-Huy Tran, Nathalie Aussenac-Gilles, Catherine Comparot and Cassia Trojahn
Semantic technologies have proven their relevance in facilitating the interpretation of Earth Observation (EO) data through formats such as RDF and reusable models, especially for the representation of space and time. While rasters are the usual data for...
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Tautvydas Fyleris, Andrius Kri?ciunas, Valentas Gru?auskas, Dalia Calneryte and Rimantas Barauskas
Urban change detection is an important part of sustainable urban planning, regional development, and socio-economic analysis, especially in regions with limited access to economic and demographic statistical data. The goal of this research is to create a...
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Qingtian Ke and Peng Zhang
Existing optical remote sensing image change detection (CD) methods aim to learn an appropriate discriminate decision by analyzing the feature information of bitemporal images obtained at the same place. However, the complex scenes in high-resolution (HR...
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Forough Moosavi, Hamid Shiri, Jacek Wodecki, Agnieszka Wylomanska and Radoslaw Zimroz
In this paper, a novel method for long-term data segmentation in the context of machine health prognosis is presented. The purpose of the method is to find borders between three data segments. It is assumed that each segment contains the data that repres...
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Bo Zhao, Xiaoyan Luo, Panpan Tang, Yang Liu, Haoming Wan and Ninglei Ouyang
Change detection (CD) is in demand in satellite imagery processing. Inspired by the recent success of the combined transformer-CNN (convolutional neural network) model, TransCNN, originally designed for image recognition, in this paper, we present STDeco...
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Nicola Ghirardi, Mariano Bresciani, Gary Free, Monica Pinardi, Rossano Bolpagni and Claudia Giardino
The improvement of effective remote sensing-based approaches to map macrophyte features can provide a baseline of adequate spatiotemporal resolution for 21st century monitoring applications equipped to play a prominent role in the context of medium?large...
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