A survey on object detection in optical remote sensing images
Object detection in optical remote sensing images, being a fundamental but challenging
problem in the field of aerial and satellite image analysis, plays an important role for a wide …
problem in the field of aerial and satellite image analysis, plays an important role for a wide …
Change detection from very-high-spatial-resolution optical remote sensing images: Methods, applications, and future directions
Change detection is a vibrant area of research in remote sensing. Thanks to increases in the
spatial resolution of remote sensing images, subtle changes at a finer geometrical scale can …
spatial resolution of remote sensing images, subtle changes at a finer geometrical scale can …
A CNN-transformer network with multiscale context aggregation for fine-grained cropland change detection
Nonagriculturalization incidents are serious threats to local agricultural ecosystem and
global food security. Remote sensing change detection (CD) can provide an effective …
global food security. Remote sensing change detection (CD) can provide an effective …
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 …
A systematic review and assessment of algorithms to detect, characterize, and monitor urban land change
M Reba, KC Seto - Remote sensing of environment, 2020 - Elsevier
Historically, change detection reviews have examined and categorized algorithms based on
their techniques for the remote sensing community. Here, we synthesize urban land change …
their techniques for the remote sensing community. Here, we synthesize urban land change …
Change detection based on deep feature representation and map** transformation for multi-spatial-resolution remote sensing images
Multi-spatial-resolution change detection is a newly proposed issue and it is of great
significance in remote sensing, environmental and land use monitoring, etc. Though multi …
significance in remote sensing, environmental and land use monitoring, etc. Though multi …
A review of regional science applications of satellite remote sensing in urban settings
This paper reviews the potential applications of satellite remote sensing to regional science
research in urban settings. Regional science is the study of social problems that have a …
research in urban settings. Regional science is the study of social problems that have a …
A review of accuracy assessment for object-based image analysis: From per-pixel to per-polygon approaches
Object-based image analysis (OBIA) has gained widespread popularity for creating maps
from remotely sensed data. Researchers routinely claim that OBIA procedures outperform …
from remotely sensed data. Researchers routinely claim that OBIA procedures outperform …
[HTML][HTML] SCDNET: A novel convolutional network for semantic change detection in high resolution optical remote sensing imagery
With the continuing improvement of remote-sensing (RS) sensors, it is crucial to monitor
Earth surface changes at fine scale and in great detail. Thus, semantic change detection …
Earth surface changes at fine scale and in great detail. Thus, semantic change detection …
Unsupervised change detection in VHR remote sensing imagery–an object-based clustering approach in a dynamic urban environment
Monitoring of changes is one of the most important inherent capabilities of remote sensing.
The steadily increasing amount of available very-high resolution (VHR) remote sensing …
The steadily increasing amount of available very-high resolution (VHR) remote sensing …