Spectral alignment of multi-temporal cross-sensor images with automated kernel canonical correlation analysis
In this paper we present an approach to perform relative spectral alignment between optical
cross-sensor acquisitions. The proposed method aims at projecting the images from two …
cross-sensor acquisitions. The proposed method aims at projecting the images from two …
A CIE color purity algorithm to detect black and odorous water in urban rivers using high-resolution multispectral remote sensing images
Q Shen, Y Yao, J Li, F Zhang, S Wang… - … on Geoscience and …, 2019 - ieeexplore.ieee.org
Urban black and odorous water (BOW) is a serious global environmental problem. Since
these waters are often narrow rivers or small ponds, the detection of BOW waters using …
these waters are often narrow rivers or small ponds, the detection of BOW waters using …
kCCA transformation-based radiometric normalization of multi-temporal satellite images
Y Bai, P Tang, C Hu - Remote Sensing, 2018 - mdpi.com
Radiation normalization is an essential pre-processing step for generating high-quality
satellite sequence images. However, most radiometric normalization methods are linear …
satellite sequence images. However, most radiometric normalization methods are linear …
Pseudoinvariant feature selection for cross-sensor optical satellite images
Processing of multitemporal satellite images generally suffers from uncertainties caused by
differences in illumination and observation angles, as well as variation in atmospheric …
differences in illumination and observation angles, as well as variation in atmospheric …
Unsupervised Multiclass Change Detection and Map** Using Deep Neural Network
R Kheddam, A Tahraoui - 2024 IEEE 7th International …, 2024 - ieeexplore.ieee.org
This work deals with the task of land use and land cover (LULC) change detection using
multi-temporal multispectral remote sensing images. In the last few years, deep learning …
multi-temporal multispectral remote sensing images. In the last few years, deep learning …
Radiometric Normalization of Multi-Temporal Images Using Kernel Canonical Correlation Analysis with Linear, Polynomial and Gaussian Kernels
Y Bai, P Tang, C Hu - IGARSS 2018-2018 IEEE International …, 2018 - ieeexplore.ieee.org
Here a kernel method based on the established method known as kernel canonical
correlation analysis (kCCA) is introduced to perform radiometric normalization of Chinese …
correlation analysis (kCCA) is introduced to perform radiometric normalization of Chinese …
Spatio-temporal Analysis of Agricultural Landscape Images: A Superpixel-based Approach
ÁM García Pedrero - 2016 - oa.upm.es
In the last hundred years, the world population has tripled and is still growing dramatically
but resources have remained the same, causing changes in food supply outlook. According …
but resources have remained the same, causing changes in food supply outlook. According …
[HTML][HTML] Spatio-temporal analysis of agricultural landscapeiImages: a superpixel-based approach
AMG Pedrero - 2016 - dialnet.unirioja.es
In the last hundred years, the world population has tripled and is still growing dramatically
butresources have remained the same, causing changes in food supply outlook. According …
butresources have remained the same, causing changes in food supply outlook. According …