Multiscale Diff-Changed Feature Fusion Network for Hyperspectral Image Change Detection
For hyperspectral image (HSI) change detection (CD), multiscale features are usually used to construct the detection models. However, the existing studies only consider the multiscale features containing changed and unchanged components, which is ...
Fulin Luo +5 more
semanticscholar +1 more source
FCCDN: Feature Constraint Network for VHR Image Change Detection [PDF]
Change detection is the process of identifying pixelwise differences in bitemporal co-registered images. It is of great significance to Earth observations.
Pan Chen +5 more
semanticscholar +1 more source
Algebraic change-point detection [PDF]
Elementary techniques from operational calculus, differential algebra, and noncommutative algebra lead to a new approach for change-point detection, which is an important field of investigation in various areas of applied sciences and engineering. Several successful numerical experiments are presented.
Fliess, Michel +2 more
openaire +6 more sources
Unsupervised Change Detection With Kernels [PDF]
In this letter, an unsupervised kernel-based approach to change detection is introduced. Nonlinear clustering is utilized to partition in two a selected subset of pixels representing both changed and unchanged areas. Once the optimal clustering is obtained, the learned representatives of each group are exploited to assign all the pixels composing the ...
Michele Volpi +3 more
openaire +1 more source
A Review of Deep-Learning Methods for Change Detection in Multispectral Remote Sensing Images
Remote sensing is a tool of interest for a large variety of applications. It is becoming increasingly more useful with the growing amount of available remote sensing data.
Eleonora Jonasova Parelius
semanticscholar +1 more source
DASNet: Dual Attentive Fully Convolutional Siamese Networks for Change Detection in High-Resolution Satellite Images [PDF]
Change detection is a basic task of remote sensing image processing. The research objective is to identify the change information of interest and filter out the irrelevant change information as interference factors.
Jie Chen +7 more
semanticscholar +1 more source
Land use and land cover change constitute a significant driver of land degradation worldwide, and machine-learning algorithms are providing new opportunities for effectively classifying land use and land cover changes over time.
Charles Matyukira, Paidamwoyo Mhangara
doaj +1 more source
CHANGE DETECTION IN LAND USE AND LAND COVER OF DISTRICT CHARSADDA PAKISTAN ALONG RIVER KABUL (2010 FLOOD): TAKING ADVANTAGE OF GEOGRAPHIC INFORMATION SYSTEM AND REMOTE SENSING [PDF]
This study aims to quantify land use and land cover changes before and after the 2010 flood in district Charsadda, Pakistan. Advanced geographic information systems (GIS) and remote sensing techniques (RST) evaluate land use and land cover changes.
Misbah Fida +4 more
doaj +1 more source
Synthetic Aperture Radar (SAR) image change detection aims to detect changes with images of the same area acquired at different times. It has wide applications in environmental monitoring, urban planning and resource management.
Wenjie Shen +6 more
doaj +1 more source
Super-Resolution-Based Change Detection Network With Stacked Attention Module for Images With Different Resolutions [PDF]
Change detection (CD) aims to distinguish surface changes based on bitemporal images. Since high-resolution (HR) images cannot be typically acquired continuously over time, bitemporal images with different resolutions are often adopted for CD in ...
Mengxi Liu +5 more
semanticscholar +1 more source

