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A review of remote sensing image classification techniques: The role of spatio-contextual information
This paper reviewed major remote sensing image classification techniques, including pixel-
wise, sub-pixel-wise, and object-based image classification methods, and highlighted the …
wise, sub-pixel-wise, and object-based image classification methods, and highlighted the …
Analysing roughness of surface through fractal dimension: A review
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 …
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 …
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
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 …
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
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 …
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 …
urban footprint with significant consequences for biodiversity, climate, and environmental …
Fractal analysis of remotely sensed images: A review of methods and applications
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 …
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?
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 …
urban temperatures is a problem for cities that actively promote urban redevelopment and …
[CARTE][B] Urban remote sensing
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 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 …
flaws like cloud penetration capability and selective duration for remote sensing in traditional …