Journal ArticleDOI
Current situation and needs of change detection techniques
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TLDR
The major steps involved in a change detection are overviewed, a summary of major change detection methods is summarised, the impacts of scales and complexity of study areas on the selection of remote-sensing data and change detection algorithms are discussed and the needs of developing newchange detection methods are discussed.Abstract:
Research on change detection techniques has long been an active topic and many techniques have been developed. In reality, change detection is a comprehensive procedure that requires careful consideration of many factors such as the nature of change detection problems, image preprocessing, selection of suitable variables and algorithms. This paper briefly overviews the major steps involved in a change detection, summarises major change detection methods, discusses the impacts of scales and complexity of study areas on the selection of remote-sensing data and change detection algorithms and finally discusses the needs of developing new change detection methods. As high spatial resolution images are easily available in the past decade, texture- and object-based methods become valuable to improve change detection performance. At national and global scales, coarse spatial resolution satellite images such as MODIS become important data sources for rapidly detecting land-cover change, but results have high unce...read more
Citations
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Journal ArticleDOI
A Review of Change Detection in Multitemporal Hyperspectral Images: Current Techniques, Applications, and Challenges
TL;DR: To fully exploit the available multitemporal HS images and their rich information content in change detection (CD), it is necessary to develop advanced automatic techniques that can address the complexity of the extraction of change information in an HS space.
Journal ArticleDOI
Fusing Landsat and SAR time series to detect deforestation in the tropics
TL;DR: In this article, a pixel-based multi-sensor correlation and fusion approach (MulTiFuse) was proposed to exploit the full observation density of optical and SAR time series.
Journal ArticleDOI
Unsupervised change detection in VHR remote sensing imagery – an object-based clustering approach in a dynamic urban environment
TL;DR: This paper presents a novel object-based approach for unsupervised change detection with focus on individual buildings with a unique procedure for determination of the number of relevant principal components and k-means clustering is applied for discrimination of changed and unchanged buildings.
Journal ArticleDOI
Monitoring forest cover loss using multiple data streams, a case study of a tropical dry forest in Bolivia
TL;DR: In this article, a generic structural break detection framework (BFAST) was used to improve the monitoring of forest cover loss by combining multiple data streams, such as Landsat data in combination with MODIS or rainfall data.
Journal ArticleDOI
Information from imagery: ISPRS scientific vision and research agenda
Jun Chen,Ian Dowman,Songnian Li,Zhilin Li,Marguerite Madden,Jon P. Mills,Nicolas Paparoditis,Franz Rottensteiner,Monika Sester,Charles K. Toth,John Trinder,Christian Heipke +11 more
TL;DR: The significant challenges currently facing ISPRS and its communities are examined, such as providing high-quality information, enabling advanced geospatial computing, and supporting collaborative problem solving.
References
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Global Change and the Ecology of Cities
Nancy B. Grimm,Stanley H. Faeth,Nancy Golubiewski,Charles L. Redman,Jianguo Wu,Xuemei Bai,John M. Briggs +6 more
TL;DR: Urban ecology integrates natural and social sciences to study these radically altered local environments and their regional and global effects of an increasingly urbanized world.
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Assessing the accuracy of remotely sensed data : principles and practices
Russell G. Congalton,Kass Green +1 more
TL;DR: This chapter discusses Accuracy Assessment, which examines the impact of sample design on cost, statistical Validity, and measuring Variability in the context of data collection and analysis.
Journal ArticleDOI
Object based image analysis for remote sensing
TL;DR: This paper gives an overview of the development of object based methods, which aim to delineate readily usable objects from imagery while at the same time combining image processing and GIS functionalities in order to utilize spectral and contextual information in an integrative way.