A critical synthesis of remotely sensed optical image change detection techniques
State of the art reviews of remote sensing change detection are becoming increasingly
complicated and disparate due to an ever growing list of techniques, algorithms and …
complicated and disparate due to an ever growing list of techniques, algorithms and …
Remote sensing of land change: A multifaceted perspective
The discipline of land change science has been evolving rapidly in the past decades.
Remote sensing played a major role in one of the essential components of land change …
Remote sensing played a major role in one of the essential components of land change …
Change detection of deforestation in the Brazilian Amazon using landsat data and convolutional neural networks
PP De Bem, OA de Carvalho Junior… - Remote Sensing, 2020 - mdpi.com
Mapping deforestation is an essential step in the process of managing tropical rainforests. It
lets us understand and monitor both legal and illegal deforestation and its implications …
lets us understand and monitor both legal and illegal deforestation and its implications …
Exchanging dual-encoder–decoder: A new strategy for change detection with semantic guidance and spatial localization
Change detection is a critical task in earth observation applications. Recently, deep-learning-
based methods have shown promising performance and are quickly adopted in change …
based methods have shown promising performance and are quickly adopted in change …
Change detection accuracy and image properties: a study using simulated data
A Almutairi, TA Warner - Remote Sensing, 2010 - mdpi.com
Simulated data were used to investigate the relationships between image properties and
change detection accuracy in a systematic manner. The image properties examined were …
change detection accuracy in a systematic manner. The image properties examined were …
Global assessment and mapping of changes in mesoscale landscapes: 1992–2015
Monitoring global land cover changes is important because of concerns about their impact
on environment and climate. The release by the European Space Agency (ESA) of a set of …
on environment and climate. The release by the European Space Agency (ESA) of a set of …
UAV, a farm map, and machine learning technology convergence classification method of a corn cultivation area
DH Lee, HJ Kim, JH Park - Agronomy, 2021 - mdpi.com
South Korea's agriculture is characterized by a mixture of various cultivated crops. In such
an agricultural environment, convergence technology for ICT (information, communications …
an agricultural environment, convergence technology for ICT (information, communications …
Does spatial resolution matter? A multi-scale comparison of object-based and pixel-based methods for detecting change associated with gas well drilling operations
BA Baker, TA Warner, JF Conley… - International journal of …, 2013 - Taylor & Francis
An implicit assumption of the geographic object-based image analysis (GEOBIA) literature is
that GEOBIA is more accurate than pixel-based methods for high spatial resolution image …
that GEOBIA is more accurate than pixel-based methods for high spatial resolution image …
Mapping invasive strawberry guava (Psidium cattleianum) in tropical forests of Mauritius with Sentinel-2 and machine learning
Invasive flora alien species (IAS) pose a serious threat to biodiversity in tropical forests. This
study evaluated different classification approaches for remote sensing of the target IAS …
study evaluated different classification approaches for remote sensing of the target IAS …
Land cover changes assessment using object‐based image analysis in the Binah River watershed (Togo and Benin)
HM Badjana, J Helmschrot, P Selsam… - Earth and Space …, 2015 - Wiley Online Library
In this study, land cover changes between 1972 and 2013 were investigated in the Binah
River watershed (North of Togo and Benin) using remote sensing and geographic …
River watershed (North of Togo and Benin) using remote sensing and geographic …