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SPATIAL DISAGGREGATION OF THE BIOENERGY POTENTIAL FROM CROP RESIDUES USING GEOSPATIAL TECHNIQUE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Limited national fossil fuel resources and sustained increases in energy prices have resulted in nationwide efforts to study and deploy alternative energy sources. Despite high prospect, biomass resources has not been effectively utilized in India due to
A. Chakraborty +5 more
doaj +1 more source
Remote Sensing Object Detection in the Deep Learning Era - A Review
Remote SensingGiven the large volume of remote sensing images collected daily, automatic object detection and segmentation have been a consistent need in Earth observation (EO).
Shengxi Gui +3 more
semanticscholar +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
aot, 2013 Quadro generale delle metodologie non distruttive impiegate nel rilevamento e nella diagnostica della conservazione architettonica con particllare riferimento al restauro di siti ...
Karin Stein, Hans Dieter Tholl
openaire +3 more sources
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
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
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
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
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
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