Zobrazeno 1 - 10
of 890
pro vyhledávání: '"Ping Lang"'
Publikováno v:
Remote Sensing, Vol 16, Iss 17, p 3135 (2024)
Polarimetric high-resolution range profile (HRRP), with its rich polarimetric and spatial information, has become increasingly important in radar automatic target recognition (RATR). This study proposes an interpretable target-aware vision Transforme
Externí odkaz:
https://doaj.org/article/4b198056c2264e1694b64b11f68b9111
Publikováno v:
Remote Sensing, Vol 16, Iss 14, p 2551 (2024)
Data, in deep learning (DL), are crucial to detect ships in synthetic aperture radar (SAR) images. However, SAR image annotation limitations hinder DL-based SAR ship detection. A novel data-selection method and teacher–student model are proposed in
Externí odkaz:
https://doaj.org/article/e428dba643d94c498e5ea6c4e5c2b685
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 6615-6630 (2022)
Deep-learning-based synthetic aperture radar automatic target recognition (SAR-ATR) plays a significant role in the military and civilian fields. However, data limitation and large computational cost are still severe challenges in the actual applicat
Externí odkaz:
https://doaj.org/article/e45edcd22d3a4b2dbac3e57b9c4ac19e
Publikováno v:
IEEE Access, Vol 10, Pp 97429-97438 (2022)
The confrontation between radar and jammer is increasingly competitive in electromagnetic spectrum warfare. The current radar anti-jamming methods are constrained to some extent in complex electromagnetic environment. It is necessary to study not onl
Externí odkaz:
https://doaj.org/article/38e1ec41a5b94fde922cc3f2a5134dd3
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 4599-4611 (2022)
Intelligent ship detection based on high-precision synthetic aperture radar (SAR) images plays a vital role in ocean monitoring and maritime management. Denoising is an effective preprocessing step for target detection. Morphological network-based de
Externí odkaz:
https://doaj.org/article/83fd80c22ecd466b8a3b34b3ea356de9
Publikováno v:
Frontiers in Plant Science, Vol 13 (2023)
Accurate and timely estimation of cotton yield over large areas is essential for precision agriculture, facilitating the operation of commodity markets and guiding agronomic management practices. Remote sensing (RS) and crop models are effective mean
Externí odkaz:
https://doaj.org/article/47cfef36a8cd48a2ac6a330b3d2c50a6
Publikováno v:
ETRI Journal, Vol 43, Iss 6, Pp 991-1003 (2021)
AbstractAutomatic modulation classification is essential in radar emitter identification. We propose a cascade classifier by combining a support vector machine (SVM) and convolutional neural network (CNN), considering that noise might be taken as rad
Externí odkaz:
https://doaj.org/article/ca9397887ec34b4d8ab90f331254a6e0
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 4760-4773 (2020)
In order to more efficiently mine the features of PolSAR images and build a more suitable classification model that combines the features of the polarimetric domain and the spatial domain, this article proposes a PolSAR image classification method, c
Externí odkaz:
https://doaj.org/article/6bdc6086c8c74ef7ba6e5f267f323f4b
Publikováno v:
Bio-Protocol, Vol 4, Iss 1 (2014)
This is a protocol to produce stable transgenic potato plants (Solanum tuberosum cv. Désirée) by Agrobacterium-mediated genetic transformation, which is established based on a method described by (Jung et al., 2005) with some modifications. Agrobac
Externí odkaz:
https://doaj.org/article/093b942bcd5d4fc19d7337f9cbe3c702
Publikováno v:
Bio-Protocol, Vol 4, Iss 1 (2014)
Potato cyst nematodes (PCNs; Globodera rostochiensis and G. pallida) are devastating pests that infect potato root. We describe an in vitro assay for PCN infection on potato plantlet in tissue culture. This method is useful for studying nematode para
Externí odkaz:
https://doaj.org/article/5da13cfe59b94485b74a637c692fb839