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 …

Combining partial least squares and the gradient-boosting method for soil property retrieval using visible near-infrared shortwave infrared spectra

L Liu, M Ji, M Buchroithner - Remote Sensing, 2017 - mdpi.com
Soil spectroscopy has experienced a tremendous increase in soil property characterisation,
and can be used not only in the laboratory but also from the space (imaging spectroscopy) …

Identification of groundwater potential zones using geospatial technologies in Meki Catchment, Ethiopia

D Abegeja, D Nedaw - Geology, Ecology, and Landscapes, 2024 - Taylor & Francis
Mapping groundwater potential zones helps in precisely planning well drilling. The Meki
Catchment is currently experiencing irrigation expansion and water scarcity challenges …

Quantitative retrieval of organic soil properties from visible near-infrared shortwave infrared (Vis-NIR-SWIR) spectroscopy using fractal-based feature extraction

L Liu, M Ji, Y Dong, R Zhang, M Buchroithner - Remote Sensing, 2016 - mdpi.com
Visible and near-infrared diffuse reflectance spectroscopy has been demonstrated to be a
fast and cheap tool for estimating a large number of chemical and physical soil properties …

Fractal-based supervised approach for dimensionality reduction of hyperspectral images

V Gupta, SK Gupta, A Shetty - Computers & Geosciences, 2024 - Elsevier
Dimensionality reduction is one of the most challenging and crucial issues apart from data
mining, security, and scalability, which have retained much traction due to the ever-growing …

What can multifractal analysis tell us about hyperspectral imagery?

M Krupiński, A Wawrzaszek, W Drzewiecki… - Remote Sensing, 2020 - mdpi.com
Hyperspectral images provide complex information about the Earth's surface due to their
very high spectral resolution (hundreds of spectral bands per pixel). Effective processing of …

Applying spectral fractal dimension index to predict the SPAD value of rice leaves under bacterial blight disease stress

YF Cao, H Xu, J Song, Y Yang, X Hu, KT Wiyao, Z Zhai - Plant Methods, 2022 - Springer
Background The chlorophyll content is a vital indicator for reflecting the photosynthesis
ability of plants and it plays a significant role in monitoring the general health of plants. Since …

Spectral-spatial feature extraction method for hyperspectral images classification using multiscale superpixel and covariance map

SA Ahmadi, N Mehrshad - Geocarto International, 2022 - Taylor & Francis
In this paper, a hand-crafted spectral-spatial feature extraction (SEA-FE) method for
classification of hyperspectral images (HSIs) is proposed to improve the classification …

Comparative performance of fractal based and conventional methods for dimensionality reduction of hyperspectral data

K Mukherjee, A Bhattacharya, JK Ghosh… - Optics and Lasers in …, 2014 - Elsevier
Although hyperspectral images contain a wealth of information due to its fine spectral
resolution, the information is often redundant. It is therefore expedient to reduce the …

面向高光谱矿物填图的多特征结合降维方法研究

苏余斌, 詹云军, 黄解军, 叶发旺, 张川 - 地质科技通报, 2015 - dzkjqb.cug.edu.cn
高光谱影像具有图谱合一的特点, 图像空间信息是遥感影像的重要信息, 但以往基于最佳波段
选择的降维方法中只考虑基于灰度统计的特征空间信息, 忽视了图像空间信息, 而且计算量大 …