Journal ArticleDOI
Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends
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TLDR
The models, methods, and image analysis algorithms in urban remote sensing have been largely developed for the imagery of medium resolution (10–100 m), and the advent of high spatial resolution satellite images, spaceborne hyperspectral images, and LiDAR data is stimulating new research idea, and is driving the future research trends with new models and algorithms.About:
This article is published in Remote Sensing of Environment.The article was published on 2012-02-15. It has received 905 citations till now. The article focuses on the topics: Impervious surface.read more
Citations
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Spectral mixture modeling - A new analysis of rock and soil types at the Viking Lander 1 site. [on Mars]
TL;DR: In this paper, a multispectral image was modeled as mixtures of reflectance spectra of palagonite dust, gray andesitelike rock, and a coarse rock-like soil.
Journal ArticleDOI
Annual maps of global artificial impervious area (GAIA) between 1985 and 2018
Peng Gong,Xuecao Li,Jie Wang,Jie Wang,Yuqi Bai,Bin Chen,Tengyun Hu,Xiaoping Liu,Bing Xu,Jun Yang,Wei Zhang,Yuyu Zhou +11 more
TL;DR: Wang et al. as mentioned in this paper used the full archive of 30-m resolution Landsat images on the Google Earth Engine platform to map the Global Artificial Impervious Areas (GAIA) from 1985 to 2018.
Journal ArticleDOI
A meta-analysis of remote sensing research on supervised pixel-based land-cover image classification processes: General guidelines for practitioners and future research
TL;DR: A statistical meta-analysis of the past 15 years of research on supervised per-pixel image classification revealed that inclusion of texture information yielded the greatest improvement in overall accuracy of land-cover classification with an average increase of 12.1%.
Journal ArticleDOI
A critical synthesis of remotely sensed optical image change detection techniques
Andrew P. Tewkesbury,Andrew P. Tewkesbury,Alexis Comber,Nicholas J. Tate,Alistair Lamb,Peter Fisher +5 more
TL;DR: This review has organised the literature by the unit of analysis and the comparison method used to identify change, significantly reducing the conceptual overlap present in previous reviews giving a succinct nomenclature with which to understand and apply change detection workflows.
Journal ArticleDOI
Hydrological modelling of urbanized catchments: A review and future directions
TL;DR: This paper reviews the state of the art on the scientific knowledge and practice of modelling the urban hydrological system at the catchment scale, with the purpose of identifying current limitations and defining a blueprint for future modelling advances.
References
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Book
Remote sensing and image interpretation
TL;DR: In this article, the authors present a textbook for introductory courses in remote sensing, which includes concepts and foundations of remote sensing; elements of photographic systems; introduction to airphoto interpretation; air photo interpretation for terrain evaluation; photogrammetry; radiometric characteristics of aerial photographs; aerial thermography; multispectral scanning and spectral pattern recognition; microwave sensing; and remote sensing from space.
Journal ArticleDOI
Remote Sensing and Image Interpretation
TL;DR: In this article, the concept of remote sensing elements of photogrammetry was introduced. Butterfly, thermal, and hyperspectral sensors were used to interpret multispectral, thermal and hypererspectral images.
Book
Introductory Digital Image Processing: A Remote Sensing Perspective
TL;DR: Introductory Digital Image Processing: A Remote Sensing Perspective focuses on digital image processing of aircraft- and satellite-derived, remotely sensed data for Earth resource management applications.
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.
Journal ArticleDOI
A review on image segmentation techniques
Nikhil R. Pal,Sankar K. Pal +1 more
TL;DR: Attempts have been made to cover both fuzzy and non-fuzzy techniques including color image segmentation and neural network based approaches, which addresses the issue of quantitative evaluation of segmentation results.
Related Papers (5)
Estimating impervious surface distribution by spectral mixture analysis
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