Classification of land cover and land use based on convolutional neural networks
C Yang, F Rottensteiner… - ISPRS annals of the …, 2018 - isprs-annals.copernicus.org
Land cover describes the physical material of the earth's surface, whereas land use
describes the socio-economic function of a piece of land. Land use information is typically …
describes the socio-economic function of a piece of land. Land use information is typically …
A hierarchical deep learning framework for the consistent classification of land use objects in geospatial databases
Land use as contained in geospatial databases constitutes an essential input for different
applications such as urban management, regional planning and environmental monitoring …
applications such as urban management, regional planning and environmental monitoring …
A higher order conditional random field model for simultaneous classification of land cover and land use
L Albert, F Rottensteiner, C Heipke - ISPRS Journal of Photogrammetry and …, 2017 - Elsevier
We propose a new approach for the simultaneous classification of land cover and land use
considering spatial as well as semantic context. We apply a Conditional Random Fields …
considering spatial as well as semantic context. We apply a Conditional Random Fields …
Towards better classification of land cover and land use based on convolutional neural networks
C Yang, F Rottensteiner… - The International Archives …, 2019 - repo.uni-hannover.de
Land use and land cover are two important variables in remote sensing. Commonly, the
information of land use is stored in geospatial databases. In order to update such databases …
information of land use is stored in geospatial databases. In order to update such databases …
SAR 对地观测技术及应用新进展.
李新武, 郭华东, 彭星, 张露, 傅文学… - Journal of Nanjing …, 2020 - search.ebscohost.com
摘要自1960 年4 月诞生国际上第一部合成孔径雷达(SAR) 以来, SAR 技术及应用发展已进入
一个新的阶段. 在该阶段, 对电磁波的波段, 极化, 振幅和相位等信息的利用更加深入和综合 …
一个新的阶段. 在该阶段, 对电磁波的波段, 极化, 振幅和相位等信息的利用更加深入和综合 …
New advances of SAR and its application in earth observation
LI Xinwu, GUO Huadong, P Xing… - Nanjing Xinxi …, 2020 - search.proquest.com
Abstract The Synthetic Aperture Radar (SAR) technology and its application have developed
rapidly since the birth of the first SAR in April of 1960. The deepening and comprehensive …
rapidly since the birth of the first SAR in April of 1960. The deepening and comprehensive …
Contextual land use classification: How detailed can the class structure be?
L Albert, F Rottensteiner… - … Archives of the …, 2016 - isprs-archives.copernicus.org
The goal of this paper is to investigate the maximum level of semantic resolution that can be
achieved in an automated land use change detection process based on mono-temporal …
achieved in an automated land use change detection process based on mono-temporal …
Exploring semantic relationships for hierarchical land use classification based on convolutional neural networks
C Yang, F Rottensteiner… - ISPRS Annals of the …, 2020 - isprs-annals.copernicus.org
Land use (LU) is an important information source commonly stored in geospatial databases.
Most current work on automatic LU classification for updating topographic databases …
Most current work on automatic LU classification for updating topographic databases …
[PDF][PDF] Simultane Klassifikation der Bodenbedeckung und Landnutzung unter Verwendung von Conditional Random Fields
L Albert - 2017 - dgk.badw.de
In this thesis, a new approach is proposed for the simultaneous classification of land cover
and land use based on current sensor data considering contextual information. For this …
and land use based on current sensor data considering contextual information. For this …