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 …

A hierarchical deep learning framework for the consistent classification of land use objects in geospatial databases

C Yang, F Rottensteiner, C Heipke - ISPRS Journal of Photogrammetry and …, 2021 - Elsevier
Land use as contained in geospatial databases constitutes an essential input for different
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 …

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 …

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 …

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 …

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 …

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 …

[PDF][PDF] Chun Yang

BA der Wissenschaften - ipi.uni-hannover.de
Land use describes the socio-economic function of an area of the earth surface (eg
settlement, agricultural, water bodies etc.). Normally, a land use object consists of many …

[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 …