DIFFERENT METHODS FOR REMOTE SENSING DATA INTEGRATION

DIFFERENT METHODS FOR REMOTE SENSING DATA INTEGRATION

Nowadays remote sensing is an indispensable source of information about Earth's surface, primarily satellite-based remote sensing systems. Traditionally, the analysis of data collected from a particular area was based on the analysis of the data of one satellite image. The technological revolut...

Full description

Bibliographic Details
Main Author:	Nedim Kulo
Format:	Article
Language:	Bosnian
Published:	Union of Associations of Geodetic Professionals in Bosnia and Herzegovina 2018-12-01
Series:	Geodetski Glasnik
Subjects:	remote sensing data integration data integration levels signal pixel features
Online Access:	https://glasnik.suggsbih.ba/glasnik/49/documents/GG49_Kulo.pdf

Similar Items

MULTISENSOR REMOTE SENSING DATA INTEGRATION
by: Nedim Kulo
Published: (2019-12-01)

Decision-Level and Feature-Level Integration of Remote Sensing and Geospatial Big Data for Urban Land Use Mapping
by: Jiadi Yin, et al.
Published: (2021-04-01)

Integration of Remote Sensing Data in a Cloud
by: Yassine Sabri, et al.
Published: (2022-03-01)

A Web-Based Remote Sensing Data Processing and Production System With the Unified Integration of Multi-Disciplinary Data and Models
by: Hongyi Li, et al.
Published: (2020-01-01)

Big Data Integration in Remote Sensing across a Distributed Metadata-Based Spatial Infrastructure
by: Junqing Fan, et al.
Published: (2017-12-01)

Big Earth Observation Data Integration in Remote Sensing Based on a Distributed Spatial Framework
by: Yinyi Cheng, et al.
Published: (2020-03-01)

Comparison Study to the Use of Geophysical Methods at Archaeological Sites Observed by Various Remote Sensing Techniques in the Czech Republic
by: Roman Křivánek
Published: (2017-09-01)

Joint Use of Optical and Radar Remote Sensing Data for Characterizing the 2020 Aniangzhai Landslide Post-Failure Displacement
by: Jianming Kuang, et al.
Published: (2023-01-01)

A method for remote sensing image classification by combining Pixel Neighbourhood Similarity and optimal feature combination
by: Kaili Zhang, et al.
Published: (2023-12-01)

Precise hexagonal pixel modeling and an easy-sharing storage scheme for remote sensing images based on discrete global grid system
by: Qishuang Liang, et al.
Published: (2024-12-01)

Integration of ground survey and remote sensing derived data: Producing robust indicators of habitat extent and condition
by: Peter A. Henrys, et al.
Published: (2019-07-01)

Sugarcane Biomass Prediction with Multi-Mode Remote Sensing Data Using Deep Archetypal Analysis and Integrated Learning
by: Zhuowei Wang, et al.
Published: (2022-10-01)

Integrating Models and Remote Sensing Data for Distributed Glacier Mass Balance Estimation
by: Iwona Podsiadlo, et al.
Published: (2020-01-01)

Dps-MuSyQ: A Distributed Parallel Processing System for Multi-Source Data Synergized Quantitative Remote Sensing Products Producing
by: Hongyi Li, et al.
Published: (2020-01-01)

Remote Sensing Image Retrieval Algorithm for Dense Data
by: Xin Li, et al.
Published: (2023-12-01)

method for improving the efficiency of integrated processing of Earth remote sensing data in solving problems of spatial objects monitoring
by: Sergey A. Karin, et al.
Published: (2022-08-01)

A Blocky and Layered Management Schema for Remote Sensing Data
by: Beibei Yang, et al.
Published: (2020-01-01)

CM-Unet: A Novel Remote Sensing Image Segmentation Method Based on Improved U-Net
by: Mengtian Cui, et al.
Published: (2023-01-01)

METHODS FOR CHANGE DETECTION IN REMOTE SENSING
by: Admir Mulahusić, et al.
Published: (2011-03-01)

Effect of the Shadow Pixels on Evapotranspiration Inversion of Vineyard: A High-Resolution UAV-Based and Ground-Based Remote Sensing Measurements
by: Saihong Lu, et al.
Published: (2022-05-01)

SLIC segmentation method for full-polarised remote-sensing image
by: Zhanyang Zhang, et al.
Published: (2019-08-01)

A remote sensing and GIS based approach for land use/cover, inundation and vulnerability analysis in Moscow, Russia
by: Komal Choudhary, et al.
Published: (2019-02-01)

Fusion Approaches to Individual Tree Species Classification Using Multisource Remote Sensing Data
by: Qian Li, et al.
Published: (2023-07-01)

Analyzing the December 2013 Metaponto Plain (Southern Italy) Flood Event by Integrating Optical Sensors Satellite Data
by: Teodosio Lacava, et al.
Published: (2018-08-01)

A New Strategy to Fuse Remote Sensing Data and Geochemical Data with Different Machine Learning Methods
by: Shi Bai, et al.
Published: (2023-02-01)

When remote sensing meets topological data analysis
by: Ludovic Duponchel
Published: (2018-02-01)

Possibilities of the Practical Application of Remote Sensing Data in Real Property Appraisal
by: Dąbrowski Rafał, et al.
Published: (2015-06-01)

Hydrologic Remote Sensing and Land Surface Data Assimilation
by: Hamid Moradkhani
Published: (2008-05-01)

Vegetation Classification and a Biomass Inversion Model for Wildfires in Chongli Based on Remote Sensing Data
by: Feng Xu, et al.
Published: (2024-02-01)

Optimizing Few-Shot Remote Sensing Scene Classification Based on an Improved Data Augmentation Approach
by: Zhong Dong, et al.
Published: (2024-01-01)

Vision Transformers for Remote Sensing Image Classification
by: Yakoub Bazi, et al.
Published: (2021-02-01)

A data science challenge for converting airborne remote sensing data into ecological information
by: Sergio Marconi, et al.
Published: (2019-02-01)

A Review of Data Augmentation Methods of Remote Sensing Image Target Recognition
by: Xuejie Hao, et al.
Published: (2023-02-01)

Fast and Accurate Terrain Image Classification for ASTER Remote Sensing by Data Stream Mining and Evolutionary-EAC Instance-Learning-Based Algorithm
by: Shimin Hu, et al.
Published: (2021-03-01)

MSFusion: Multistage for Remote Sensing Image Spatiotemporal Fusion Based on Texture Transformer and Convolutional Neural Network
by: Guangqi Yang, et al.
Published: (2022-01-01)

Investigation on methods for dimensionality reduction on hyperspectral image data
by: Robin T. Clarke, et al.
Published: (2005-04-01)

Usage of Airborne LiDAR Data and High-Resolution Remote Sensing Images in Implementing the Smart City Concept
by: Anna Uciechowska-Grakowicz, et al.
Published: (2023-12-01)

Data Augmentation and Few-Shot Change Detection in Forest Remote Sensing
by: Songyu Zhu, et al.
Published: (2023-01-01)

The remote sensing data book /
by: Rees, Gareth (William Gareth), 1959-
Published: (1999)

Signal processing for remote sensing /
by: Chen, C. H. (Chi-hau), 1937-
Published: (c201)