A review of remote sensing image classification techniques: The role of spatio-contextual information

M Li, S Zang, B Zhang, S Li, C Wu - European Journal of Remote …, 2014 - Taylor & Francis
This paper reviewed major remote sensing image classification techniques, including pixel-
wise, sub-pixel-wise, and object-based image classification methods, and highlighted the …

Analysing roughness of surface through fractal dimension: A review

SR Nayak, J Mishra, G Palai - Image and Vision Computing, 2019 - Elsevier
In last three decades, fractal geometry (FG) has been the focus of attention by several
researchers owing to it exhibiting excellent properties and robust application with respect to …

Practical guidelines for choosing GLCM textures to use in landscape classification tasks over a range of moderate spatial scales

M Hall-Beyer - International Journal of Remote Sensing, 2017 - Taylor & Francis
Texture measurements quantitatively describe relationships of DN values of neighbouring
pixels. The output is a continuous measure of spatial information that may be used for further …

Differential box counting methods for estimating fractal dimension of gray-scale images: A survey

C Panigrahy, A Seal, NK Mahato… - Chaos, Solitons & …, 2019 - Elsevier
Fractal dimension is extensively in use as features in computer vision applications to
characterize roughness and self-similarity of objects in an image for many years. These …

Object-based classification using Quickbird imagery for delineating forest vegetation polygons in a Mediterranean test site

G Mallinis, N Koutsias, M Tsakiri-Strati… - ISPRS Journal of …, 2008 - Elsevier
A multi-scale, object-based analysis of a Quickbird satellite image has been carried out to
delineate forest vegetation polygons in a natural forest in Northern Greece. Following a multi …

[HTML][HTML] Urban growth prediction: a review of computational models and human perceptions

D Triantakonstantis, G Mountrakis - 2012 - scirp.org
Human population continues to aggregate in urban centers. This inevitably increases the
urban footprint with significant consequences for biodiversity, climate, and environmental …

Fractal analysis of remotely sensed images: A review of methods and applications

W Sun, G Xu, P Gong, S Liang - International Journal of remote …, 2006 - Taylor & Francis
Mandelbrot's fractal geometry has sparked considerable interest in the remote sensing
community since the publication of his highly influential book in 1977. Fractal models have …

Using watered landscapes to manipulate urban heat island effects: how much water will it take to cool Phoenix?

P Gober, A Brazel, R Quay, S Myint… - Journal of the …, 2009 - Taylor & Francis
Problem: The prospect that urban heat island (UHI) effects and climate change may increase
urban temperatures is a problem for cities that actively promote urban redevelopment and …

[CARTE][B] Urban remote sensing

J Shan, Q Weng, M Ehlers, DA Quattrochi, G Zhou… - 2018 - taylorfrancis.com
Driven by advances in technology and societal needs, the next frontier in remote sensing is
urban areas. With the advent of high-resolution imagery and more capable techniques, the …

Urban objects detection from C-band synthetic aperture radar (SAR) satellite images through simulating filter properties

D Kumar - Scientific Reports, 2021 - nature.com
Satellite-based remote sensing has a key role in the monitoring earth features, but due to
flaws like cloud penetration capability and selective duration for remote sensing in traditional …