Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Jiguang Dai"'
Publikováno v:
Water, Vol 15, Iss 18, p 3176 (2023)
Ammonia nitrogen (NH4-N), nitrite nitrogen (NO2-N), and nitrate nitrogen (NO3-N) are important nutrients for maintaining the ecological balance of seawater archipelagos. Obtaining the concentrations of the three nitrogenous compounds simultaneously c
Externí odkaz:
https://doaj.org/article/af669d11d4ec41bfaed01ecdbfc4894f
Publikováno v:
Remote Sensing, Vol 15, Iss 14, p 3617 (2023)
With the wide application of remote sensing technology, target detection based on deep learning has become a research hotspot in the field of remote sensing. In this paper, aimed at the problems of the existing deep-learning-based desert land intelli
Externí odkaz:
https://doaj.org/article/3dc0059274fd4ee7a762bb7a22368d39
Publikováno v:
Remote Sensing, Vol 15, Iss 11, p 2710 (2023)
Due to the long synthetic aperture time, the large squint angle, and the large imaging width of medium Earth orbit (MEO) and high Earth orbit (HEO) SAR satellites, it is difficult to simulate the geometric positioning accuracy of MEO- and HEO-SAR sat
Externí odkaz:
https://doaj.org/article/ea5d4a87516142569edd0691d4cf752e
Publikováno v:
IEEE Access, Vol 8, Pp 39212-39224 (2020)
Automatic extracting road intersection points is essential for applications such as data registration between vector data and remote sensing images, aircraft-assisted navigation. However, at a large scale, it is difficult to quickly and accurately ex
Externí odkaz:
https://doaj.org/article/52c26e15ba8444cbad28b7ffe8d09254
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 227-240 (2020)
Geometry and texture noise make it difficult to accurately describe road image rules, which leads to the low degree of automation of traditional template matching algorithms based on internal texture homogenization. We propose a semi-automatic road e
Externí odkaz:
https://doaj.org/article/3ce00f73846745e3ab90c3ff1545276e
Publikováno v:
IEEE Access, Vol 7, Pp 173377-173392 (2019)
Road detection is a focus of research in the field of remote sensing image analysis. This task is normally difficult due to the complexity of the data, which are heterogeneous in appearance with large intra-class and lower inter-class variations that
Externí odkaz:
https://doaj.org/article/8858fccf077441579dc3aace636106c5
Autor:
Jiguang Dai, Yue Gu
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 11, Iss 9, p 462 (2022)
To realize the construction of smart cities, the fine management of various street objects is very important. In dealing with the form of objects, it is considered a pursuit of normativeness and precision. Store signboards are a tangible manifestatio
Externí odkaz:
https://doaj.org/article/da1762ee45774ef78c94996ba0de4bf5
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 11, p 754 (2021)
The extraction of road information from high-resolution remotely-sensed images has important application value in many fields. Rural roads have the characteristics of relatively narrow widths and diversified pavement materials; these characteristics
Externí odkaz:
https://doaj.org/article/270d498f50564a56acdf0a264503f57b
Publikováno v:
Remote Sensing, Vol 13, Iss 8, p 1417 (2021)
Road extraction in rural areas is one of the most fundamental tasks in the practical application of remote sensing. In recent years, sample-driven methods have achieved state-of-the-art performance in road extraction tasks. However, sample-driven met
Externí odkaz:
https://doaj.org/article/3f292bc91ed94beb853162d033b0cd3b
Publikováno v:
Remote Sensing, Vol 12, Iss 21, p 3612 (2020)
Determining samples is considered to be a precondition in deep network training and learning, but at present, samples are usually created manually, which limits the application of deep networks. Therefore, this article proposes an OpenStreetMap (OSM)
Externí odkaz:
https://doaj.org/article/da481f2ec5b84877889adc0552b01e9c