Zobrazeno 1 - 10
of 422
pro vyhledávání: '"Huanfeng Shen"'
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 2, Pp 289-310 (2024)
ABSTRACTRemote sensing provides us with an approach for the rapid identification and monitoring of spatiotemporal changes in the urban ecological environment at different scales. This study aimed to construct a remote sensing assessment index for urb
Externí odkaz:
https://doaj.org/article/4ab781e80c9b4c509c111c28fd84f687
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
Deep convolutional neural networks (DCNNs) have been successfully used in semantic segmentation of high-resolution remote sensing images (HRSIs). However, this task still suffers from intra-class inconsistency and boundary blur due to high intra-clas
Externí odkaz:
https://doaj.org/article/0faaf8915b014e4da793f8a45be5b26e
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 129, Iss , Pp 103866- (2024)
Deep learning has demonstrated its effectiveness in capturing high-level features, with convolutional neural networks (CNNs) excelling in remote sensing classification. However, CNNs encounter challenges when applied to Landsat images with limited mu
Externí odkaz:
https://doaj.org/article/8ee3349c70b04fca91393982994e7004
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 12505-12520 (2024)
Spatiotemporal fusion (STF) has received widespread attention as a cost-effective solution to the spatiotemporal conflicts in remote sensing images. Massive efforts have been made in the development of STF technology, and deep-learning methods have s
Externí odkaz:
https://doaj.org/article/91731d0e31bd449b8d665b29e8c2ac3b
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 719-731 (2024)
Optical and synthetic aperture radar (SAR) images provide complementary information to each other. However, the heterogeneity of same-ground objects brings a large difficulty to change detection (CD). Correspondingly, transformation-based methods are
Externí odkaz:
https://doaj.org/article/f3d698232d67422e9e539299a3c3d675
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 210-233 (2023)
Efficient and continuous monitoring of surface water is essential for water resource management. Much effort has been devoted to the task of water mapping based on remote sensing images. However, few studies have fully considered the diverse spectral
Externí odkaz:
https://doaj.org/article/e8bc399465074ea09d5a394a5910eba3
Publikováno v:
Sensors, Vol 24, Iss 17, p 5566 (2024)
The objective of image super-resolution is to reconstruct a high-resolution (HR) image with the prior knowledge from one or several low-resolution (LR) images. However, in the real world, due to the limited complementary information, the performance
Externí odkaz:
https://doaj.org/article/664b0ebcc1694ac699681344156f02c8
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 128, Iss , Pp 103756- (2024)
Externí odkaz:
https://doaj.org/article/4480bc08d55a4fa8a1d6a04122b6eca6
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 128, Iss , Pp 103691- (2024)
High-quality cirrus removal plays a crucial role in remote sensing data analysis. Cirrus parallaxes are commonly observed within the vicinity of cirrus clouds in the visible and near-infrared (VNIR) bands of Landsat 8/9 images. Cirrus parallaxes have
Externí odkaz:
https://doaj.org/article/d0d8461f7a9241f1b5db44870568c81d
Publikováno v:
Journal of Remote Sensing, Vol 4 (2024)
The tradeoffs between the spatial and temporal resolutions for the remote sensing instruments limit their capacity to monitor the eutrophic status of inland lakes. Spatiotemporal fusion (STF) provides a cost-effective way to obtain remote sensing dat
Externí odkaz:
https://doaj.org/article/1a806e51104845e2a62f2678e58fcafa