Results 51 to 60 of about 3,331,007 (297)
Deep Learning-Based Change Detection in Remote Sensing Images: A Review
Remote Sensing, 2022 Images gathered from different satellites are vastly available these days due to the fast development of remote sensing (RS) technology. These images significantly enhance the data sources of change detection (CD).
Ayesha Shafique +4 more
semanticscholar +1 more source
Remote Sensing, 2014 Due to an error on our part, the pagination and the doi number of this manuscript [1] were missing during updating. The correct pagination is 9600–9652, and the doi number is 10.3390/rs6109600. Here is the correct version:[...]
Remote Sensing Editorial Office
doaj +1 more source
A Review of Data Augmentation Methods of Remote Sensing Image Target Recognition
Remote Sensing, 2023 In recent years, remote sensing target recognition algorithms based on deep learning technology have gradually become mainstream in the field of remote sensing because of the great improvements that have been made in the accuracy of image target ...
Xuejie Hao +5 more
semanticscholar +1 more source
Acknowledgement to Reviewers of Remote Sensing in 2018
Remote Sensing, 2019 Rigorous peer-review is the corner-stone of high-quality academic publishing [...]
Remote Sensing Editorial Office
doaj +1 more source
A Review of Deep-Learning Methods for Change Detection in Multispectral Remote Sensing Images
Remote Sensing, 2023 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
Molecular Oncology, EarlyView.The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg +43 more
wiley +1 more source
Remote Sensing, 2016 The authors would like to correct the abstract and Figures 3 and 4 of this article [1] as follows:[...]
Remote Sensing Editorial Office
doaj +1 more source
Small Object Detection Based on Deep Learning for Remote Sensing: A Comprehensive Review
Remote Sensing, 2023 With the accelerated development of artificial intelligence, remote-sensing image technologies have gained widespread attention in smart cities. In recent years, remote sensing object detection research has focused on detecting and counting small dense ...
X. Wang +4 more
semanticscholar +1 more source
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
Molecular Oncology, EarlyView.This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
YOLO-HR: Improved YOLOv5 for Object Detection in High-Resolution Optical Remote Sensing Images
Remote Sensing, 2023 Object detection is essential to the interpretation of optical remote sensing images and can serve as a foundation for research into additional visual tasks that utilize remote sensing.
Dahang Wan +5 more
semanticscholar +1 more source