Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Zhengyuan Mao"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 318-330 (2023)
Models based on convolutional neural networks (CNNs) have achieved remarkable advances in high-resolution remote sensing (HRRS) images scene classification, but there are still challenges due to the high similarity among different categories and loss
Externí odkaz:
https://doaj.org/article/63e6795edbb54412b38d56618644da7b
Publikováno v:
Remote Sensing, Vol 14, Iss 4, p 882 (2022)
It is significant to study the vegetation of protected areas in rugged mountains where the vegetation grows naturally with minimal eco-society environmental stress from anthropogenic activities. The shadow-eliminated vegetation index (SEVI) was used
Externí odkaz:
https://doaj.org/article/b3d6cd1d6fa04dc4a9831ea0a3bc3785
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 4, Iss 3, Pp 1480-1499 (2015)
Three-dimensional (3D) point analysis and visualization is one of the most effective methods of point cluster detection and segmentation in geospatial datasets. However, serious scattering and clotting characteristics interfere with the visual detect
Externí odkaz:
https://doaj.org/article/e8191b67e1394ebfa00edc38438f2ebf
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Journal of the Indian Society of Remote Sensing. 46:2003-2013
Building extraction is still a difficult issue in the field of remote sensing. In order to extract the buildings with similar structures efficiently, an algorithm based on multi-subgraph matching is proposed using only the panchromatic high-resolutio
Publikováno v:
Earth Science Informatics. 12:19-29
An approach to building area extraction from high-resolution remote sensing imagery is proposed based on the local gradient orientation density function (LGODF) and the bimodal density function (BDF). Firstly, the LGODF is calculated by moving the wi
Publikováno v:
International Journal of Remote Sensing. 39:6281-6299
Classifying land-use scenes from high-resolution remote-sensing imagery with high quality and accuracy is of paramount interest for science and land management applications. In this article, we proposed a new model for land-use scene classification b
Publikováno v:
International Journal of Remote Sensing. 38:5186-5214
Scale computation for multi-scale image segmentation is an important research area in geographic object-based image analysis (GEOBIA). For the highly spectral heterogeneity of high spatial resolution remotely sensed imagery (HSRRSI), and the changing
Autor:
Zhengyuan Mao, Wenzao Shi
Publikováno v:
The Imaging Science Journal. 65:261-269
Urban area detection from the remote sensing imagery has important significance in dynamic monitoring on the use types of city land and the city development planning. An approach for full-automatic...