Change Detection Techniques: A Review

Ban, Yifang; Yousif, Osama

doi:10.1007/978-3-319-47037-5_2

Cited by 52 publications

(31 citation statements)

References 124 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…[39][40][41] When selecting a change detection method, the characteristics of the remotely sensed images used and the phenomenon under study should be considered. 42 In a built-up area, this could include, for example, the type and density of urban structures and vegetation, and seasonal changes in the landscape.…”

Section: Change Detection From Optical Satellite Imagesmentioning

confidence: 99%

Toward utilizing multitemporal multispectral airborne laser scanning, Sentinel-2, and mobile laser scanning in map updating

Matikainen

Pandžić

et al. 2019

J. Appl. Rem. Sens.

View full text Add to dashboard Cite

The rapid development of remote sensing technologies provides interesting possibilities for the further development of nationwide mapping procedures that are currently based mainly on passive aerial images. In particular, we assume that there is a large undiscovered potential in multitemporal airborne laser scanning (ALS) for topographic mapping. In this study, automated change detection from multitemporal multispectral ALS data was tested for the first time. The results showed that direct comparisons between height and intensity data from different dates reveal even small changes related to the development of a suburban area. A major challenge in future work is to link the changes with objects that are interesting in map production. In order to effectively utilize multisource remotely sensed data in mapping in the future, we also investigated the potential of satellite images and ground-based data to complement multispectral ALS. A method for continuous change monitoring from a time series of Sentinel-2 satellite images was developed and tested. Finally, a high-density point cloud was acquired with terrestrial mobile laser scanning and automatically classified into four classes. The results were compared with the ALS data, and the possible roles of the different data sources in a future map updating process were discussed. © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

show abstract

Section: Change Detection From Optical Satellite Imagesmentioning

confidence: 99%

Toward utilizing multitemporal multispectral airborne laser scanning, Sentinel-2, and mobile laser scanning in map updating

Matikainen

Pandžić

et al. 2019

J. Appl. Rem. Sens.

View full text Add to dashboard Cite

show abstract

“…The overview and the repeatability satellite remote sensing can provide timely, accurate and consistent information about earth's surface for cost-and time-efficient monitoring for environmental changes [70][71][72]. This information is critical to the management of natural resources, the conservation of ecosystems and biodiversity as well as decision support for sustainable development [21]. In the last four decades, the development of change detection techniques has made considerable progresses, as shown in previous literature reviews [12].…”

Section: Land Use Land Cover Change Detectionmentioning

confidence: 99%

“…LULC changes seriously affect the environment and its processes [20]. This information is critical for the management of natural resources, the conservation of ecosystems and biodiversity as well as decision support for sustainable development [21].…”

Section: Introductionmentioning

confidence: 99%

Using Remote Sensing Technics for Land Use Land Cover Changes Analyses from 1950s to 2000s in Somone Tropical Coastal Lagoon, Senegal

Barry¹,

Ndiaye²,

Hauhouot³

et al. 2019

AJRS

View full text Add to dashboard Cite

In many developing countries, some natural areas are faced with gaps in appropriate map coverage mainly on land use and land cover (LULC) changes. This situation makes it difficult to plan and implement natural environmental protection and natural resource management programs. Remote sensing and geographic information systems (GIS) are excellent tools for mapping LULC changes. This study investigated LULC changes in 'Somone' coastal lagoon in Senegal using multisource remote sensed data. Data sets included aerial photographs recorded in March 1954, and February 1978, as well as satellite images recorded in February 2003 and April 2016. All images were geometrically corrected and segmented. Photos and/or images interpretations were made with the aid of computer and post-classification change detection technique was applied to classify multisource data and to map changes. Stratified sampling was used to assess all classification results.

show abstract

“…LULC, in particular, benefits from advancements in ML methods [5]. The growing number of satellite platforms with various revisit times has increased the ability to capture natural accurately, and humanmade changes to the Earth's surface [6], and ML methods have increasingly been used to address related change detection problems [7]. Similarly, the development of high spatial resolution instruments installed on airborne and spaceborne platforms has resulted in an increase in applications of ML for special object detection [8].…”

Section: Introductionmentioning

confidence: 99%

A Meta-Analysis of Convolutional Neural Networks for Remote Sensing Applications

Ghanbari

Mahdianpari

Homayouni

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

View full text Add to dashboard Cite

Since the rise of deep learning in the past few years, convolutional neural networks (CNNs) have quickly found their place within the remote sensing (RS) community. As a result, they have transitioned away from other machine learning techniques, achieving unprecedented improvements in many specific RS applications. This paper presents a meta-analysis of 416 peer-reviewed journal articles, summarizes CNN advancements, and its current status under RS applications. The review process includes a statistical and descriptive analysis of a database comprised of 23 fields, including 1) general characteristics such as various applications, study objectives, sensors, and data types, and 2) algorithm specifications such as different types of CNN models, parameter settings, and reported accuracies. This review begins with a comprehensive survey of the relevant articles without considering any specific criteria to give readers an idea of general trends, then investigates CNNs within different RS applications to provide specific directions for the researchers. Finally, a conclusion summarizes potentialities, critical issues, and challenges related to the observed trends.

show abstract

Change Detection Techniques: A Review

Cited by 52 publications

References 124 publications

Toward utilizing multitemporal multispectral airborne laser scanning, Sentinel-2, and mobile laser scanning in map updating

Toward utilizing multitemporal multispectral airborne laser scanning, Sentinel-2, and mobile laser scanning in map updating

Using Remote Sensing Technics for Land Use Land Cover Changes Analyses from 1950s to 2000s in Somone Tropical Coastal Lagoon, Senegal

A Meta-Analysis of Convolutional Neural Networks for Remote Sensing Applications

Contact Info

Product

Resources

About