Zobrazeno 1 - 10
of 679
pro vyhledávání: '"Wenzhong Shi"'
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Accurate paddy rice mapping is crucial for ensuring food security and guiding agricultural production. Vegetation indices are extensively employed to map paddy rice. However, most traditional normalized indices tend to be oversaturated during periods
Externí odkaz:
https://doaj.org/article/d539cc995743458999c20a655bf5809f
Autor:
Shanxiong Chen, Wenzhong Shi, Mingting Zhou, Min Zhang, Yue Yu, Yangjie Sun, Linjie Guan, Shuangping Li
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 130, Iss , Pp 103836- (2024)
The up-to-date building information is significant to urban planning and economic assessment. Automatic building change detection (BCD) from bi-temporal remote sensing images is essential for updating building status efficiently. Nevertheless, BCD re
Externí odkaz:
https://doaj.org/article/fc75c1910a9b43d7883f9b5a27b9aeeb
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 2272-2282 (2024)
Change detection (CD) using deep learning techniques is a prominent topic in the field of remote sensing (RS). However, the existing methods require large amounts of labeled samples for supervised learning, which is time-consuming and labor-intensive
Externí odkaz:
https://doaj.org/article/364f1878b3284833aceec2b197ec74d1
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 2224-2233 (2024)
Convolutional neural networks have demonstrated remarkable capability in extracting deep semantic features from images, leading to significant advancements in various image processing tasks. This success has also opened up new possibilities for chang
Externí odkaz:
https://doaj.org/article/6ff0adc36e2940df9397e6284f6c9768
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 2089-2110 (2023)
With the growth in the vehicle industry, autonomous driving has become a hot topic worldwide and has attracted increasing attention from both industrial and academic sectors. Maps, as pivotal geospatial information carriers, play a vital role in rout
Externí odkaz:
https://doaj.org/article/bb8ee04bcd194c958641ab6e3dff8c6f
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 14, Iss 1 (2023)
AbstractLandslide susceptibility analysis is an essential tool for landslide hazard management. Correlation analysis of the driving factors before landslide susceptibility analysis is crucial to obtain more accurate results and higher computational e
Externí odkaz:
https://doaj.org/article/1d5ad8dc119e499dab74c7cd933ca255
Publikováno v:
Remote Sensing, Vol 16, Iss 5, p 804 (2024)
Change detection (CD) in remote sensing (RS) imagery is a pivotal method for detecting changes in the Earth’s surface, finding wide applications in urban planning, disaster management, and national security. Recently, deep learning (DL) has experie
Externí odkaz:
https://doaj.org/article/35bb985ba7a94fa6bb37193229f9a900
Autor:
Dizhou Guo, Wenzhong Shi
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 8007-8021 (2023)
Spatiotemporal fusion (STF) is a cost-effective way to complement the spatiotemporal resolution of multisource images, which has been employed in various applications requiring image sequences. In real-world applications, the spectral accuracy, spati
Externí odkaz:
https://doaj.org/article/8d7aa94e37794477bed43d72eb6303e2
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 3599-3610 (2023)
Landslide mapping (LM) from bitemporal remote sensing images is essential for disaster prevention and mitigation. Although bitemporal change detection technology has been applied for LM, there remains room for improvement in its accuracy and automati
Externí odkaz:
https://doaj.org/article/ad8684d3259a40ba8bb320a4de0c1002
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 570-580 (2023)
Object-oriented change detection (OOCD) plays an important role in remote sensing change detection. Generally, most of current OOCD methods adopt the highest predicted probability to determine whether objects have changes. However, it ignores the fac
Externí odkaz:
https://doaj.org/article/aa727ad07dfe43298466248467d16dfc