Results 271 to 280 of about 300,366 (322)
Some of the next articles are maybe not open access.
Image quality of optical remote sensing data
SPIE Proceedings, 2014Photogrammetry and remote sensing (RS) provide procedures for deriving geometric, radiometric and thematic information from image data. A variety of aircraft and space-borne sensors are available to capture image data. Different standards and specifications of quality assessment for optical remote sensing data are available. Due to the possibilities of
Reulke, Ralf, Säuberlich, Thomas
openaire +2 more sources
Cross-Scale Feature Fusion for Object Detection in Optical Remote Sensing Images
IEEE Geoscience and Remote Sensing Letters, 2021For the time being, there are many groundbreaking object detection frameworks used in natural scene images. These algorithms have good detection performance on the data sets of open natural scenes.
Gong Cheng +4 more
semanticscholar +1 more source
Quality Assessment of Remote-Sensing Multi-Band Optical Images
2006Il lavoro analizza un metodo robusto di stima della quantità di informazione utile contenuta in sequenze di immagini iperspettrali.
Bruno Aiazzi +3 more
openaire +3 more sources
Computational intelligence in optical remote sensing image processing
Applied Soft Computing, 2018Abstract With the ongoing development of Earth observation techniques, huge amounts of remote sensing images with a high spectral-spatial-temporal resolution are now available, and have been successfully applied in a variety of fields. In the process, they bring about great challenges, such as high-dimensional datasets (the high spatial resolution ...
Yanfei Zhong +4 more
openaire +1 more source
IEEE Transactions on Geoscience and Remote Sensing, 2023
Convolutional neural network (CNN)-based salient object detection (SOD) models have achieved promising performance in optical remote sensing images (ORSIs) in recent years. However, the restriction concerning the local sliding window operation of CNN has
Lina Gao, Bing Liu, P. Fu, Mingzhu Xu
semanticscholar +1 more source
Convolutional neural network (CNN)-based salient object detection (SOD) models have achieved promising performance in optical remote sensing images (ORSIs) in recent years. However, the restriction concerning the local sliding window operation of CNN has
Lina Gao, Bing Liu, P. Fu, Mingzhu Xu
semanticscholar +1 more source
Edge and Skeleton Guidance Network for Salient Object Detection in Optical Remote Sensing Images
IEEE transactions on circuits and systems for video technology (Print), 2023The salient object detection of optical remote sensing images (ORSI-SOD) is an important research direction in ORSI processing, which has achieved promising results in the last few years.
Aojun Gong +5 more
semanticscholar +1 more source
Automated Ship Detection from Optical Remote Sensing Images
Key Engineering Materials, 2012Automatic ship detection from remote sensing images is very important as a variant of applications such as harbor management, cargo shipping, marine rescue and naval warfare will call for the aids of the analysis of these images. This paper focuses on the processing of space-born optical images (SDSOI).
Yin Dong Yu +3 more
openaire +1 more source
IEEE Geoscience and Remote Sensing Magazine
Powered by advances of optical remote sensing sensors, the production of very high spatial-resolution multispectral images provides great potential for achieving cost-efficient and high-accuracy forest inventory and analysis in an automated way.
Juepeng Zheng +5 more
semanticscholar +1 more source
Powered by advances of optical remote sensing sensors, the production of very high spatial-resolution multispectral images provides great potential for achieving cost-efficient and high-accuracy forest inventory and analysis in an automated way.
Juepeng Zheng +5 more
semanticscholar +1 more source
Multiscale Feature Enhancement Network for Salient Object Detection in Optical Remote Sensing Images
IEEE Transactions on Geoscience and Remote Sensing, 2022Salient object detection (SOD) in optical remote sensing images (RSIs) is a valuable and challenging task. Although many SOD methods for RSIs have been proposed, there are still some problems, such as insufficient feature extraction, relatively worse ...
Zhen Wang +3 more
semanticscholar +1 more source
An Optical Fiber Sensor for Remote pH Sensing and Imaging
Applied Spectroscopy, 2012A fiber-optical probe for pH sensing and real-time imaging is successfully fabricated by connecting a polymer imaging fiber and a gradient index (GRIN) lens rod which was modified with a sensing film. By employing an improved metallographic microscope, an optical system is designed to cooperate with the probe.
Wang, Jian, Wang, Lili
openaire +3 more sources

