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Languages : pt-BR
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A presente tese investiga a representação explícita de conhecimentoespecífico na interpretação de imagens de baixa resolução multitemporaisadquiridas por satélite. Neste contexto, o termo conhecimento específico, se referea todo e qualquer tipo de conhecimento que torna um indivíduo capaz de ou maisapto para realizar uma determinada tarefa. Dentro do escopo desta tese, conhecimento específico compreende o conjunto das informações necessárias paraa interpretação de imagens de satélite de baixa resolução, como por exemplo: ascaracterísticas das classes presentes, o manejo agronômico e a ecologia da regiãode interesse. Assim sendo, a presente tese propõe um modelo para a interpretaçãobaseada em conhecimento de imagens de satélite de baixa resolução visandoreproduzir o raciocínio empregado pelo foto-intéprete ao realizar a interpretaçãovisual. Neste modelo são empregadas diferentes formas de conhecimentoespecífico: 1) Conhecimento espectral que associa as diversas assinaturasespectrais observadas na imagem de entrada às classes da legenda, agrupando emuma única classe espectral as classes da legenda cujas assinaturas espectrais sejamde difícil discriminação. 2) Conhecimento contextual que indica os diversoscontextos relevantes para a discriminação de classes da legenda com assinaturasespectrais semelhantes. 3) Conhecimento multitemporal que relaciona, considerando a classificação anterior, as classificações possíveis no presentemomento e a possibilidade de ocorrência de cada uma delas. A potencialidadedesta abordagem foi avaliada através de uma série de experimentos, onde, comobase de dados, são utilizadas imagens de duas regiões inseridas na Alta Bacia doRio Taquari ao leste do pantanal mato-grossense. O objetivo primordial destesexperimentos foi explicitar a contribuição de cada forma de conhecimento. Os resultados obtidos foram animadores e indicam que o uso de abordagens baseadasem conhecimento pode automatizar grande parte do processo de fotointerpretação, aumentando a produtividade dos foto-intérpretes. No futuro, osresultados da presente pesquisa contribuirão para a construção de sistemascapazes de realizar uma estratégia de interpretação qualquer a ser definida pelopróprio foto-intérprete, acelerando o monitoramento do uso do solo com base emimagens de baixa resolução adquiridas por satélite.
Author:
Publisher:
ISBN:
Category :
Languages : pt-BR
Pages :
Get Book Here
Book Description
A presente tese investiga a representação explícita de conhecimentoespecífico na interpretação de imagens de baixa resolução multitemporaisadquiridas por satélite. Neste contexto, o termo conhecimento específico, se referea todo e qualquer tipo de conhecimento que torna um indivíduo capaz de ou maisapto para realizar uma determinada tarefa. Dentro do escopo desta tese, conhecimento específico compreende o conjunto das informações necessárias paraa interpretação de imagens de satélite de baixa resolução, como por exemplo: ascaracterísticas das classes presentes, o manejo agronômico e a ecologia da regiãode interesse. Assim sendo, a presente tese propõe um modelo para a interpretaçãobaseada em conhecimento de imagens de satélite de baixa resolução visandoreproduzir o raciocínio empregado pelo foto-intéprete ao realizar a interpretaçãovisual. Neste modelo são empregadas diferentes formas de conhecimentoespecífico: 1) Conhecimento espectral que associa as diversas assinaturasespectrais observadas na imagem de entrada às classes da legenda, agrupando emuma única classe espectral as classes da legenda cujas assinaturas espectrais sejamde difícil discriminação. 2) Conhecimento contextual que indica os diversoscontextos relevantes para a discriminação de classes da legenda com assinaturasespectrais semelhantes. 3) Conhecimento multitemporal que relaciona, considerando a classificação anterior, as classificações possíveis no presentemomento e a possibilidade de ocorrência de cada uma delas. A potencialidadedesta abordagem foi avaliada através de uma série de experimentos, onde, comobase de dados, são utilizadas imagens de duas regiões inseridas na Alta Bacia doRio Taquari ao leste do pantanal mato-grossense. O objetivo primordial destesexperimentos foi explicitar a contribuição de cada forma de conhecimento. Os resultados obtidos foram animadores e indicam que o uso de abordagens baseadasem conhecimento pode automatizar grande parte do processo de fotointerpretação, aumentando a produtividade dos foto-intérpretes. No futuro, osresultados da presente pesquisa contribuirão para a construção de sistemascapazes de realizar uma estratégia de interpretação qualquer a ser definida pelopróprio foto-intérprete, acelerando o monitoramento do uso do solo com base emimagens de baixa resolução adquiridas por satélite.
Author: Francisco Eugenio
Publisher: MDPI
ISBN: 3039217569
Category : Science
Languages : en
Pages : 262
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Book Description
Recently, growing interest in the use of remote sensing imagery has appeared to provide synoptic maps of water quality parameters in coastal and inner water ecosystems;, monitoring of complex land ecosystems for biodiversity conservation; precision agriculture for the management of soils, crops, and pests; urban planning; disaster monitoring, etc. However, for these maps to achieve their full potential, it is important to engage in periodic monitoring and analysis of multi-temporal changes. In this context, very high resolution (VHR) satellite-based optical, infrared, and radar imaging instruments provide reliable information to implement spatially-based conservation actions. Moreover, they enable observations of parameters of our environment at greater broader spatial and finer temporal scales than those allowed through field observation alone. In this sense, recent very high resolution satellite technologies and image processing algorithms present the opportunity to develop quantitative techniques that have the potential to improve upon traditional techniques in terms of cost, mapping fidelity, and objectivity. Typical applications include multi-temporal classification, recognition and tracking of specific patterns, multisensor data fusion, analysis of land/marine ecosystem processes and environment monitoring, etc. This book aims to collect new developments, methodologies, and applications of very high resolution satellite data for remote sensing. The works selected provide to the research community the most recent advances on all aspects of VHR satellite remote sensing.
Author: Sven Nussbaum
Publisher: Springer Science & Business Media
ISBN: 1402069618
Category : Science
Languages : en
Pages : 178
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Book Description
This book describes recent progress in object-based image interpretation. It presents new results in its application to verification of nuclear non-proliferation. A comprehensive workflow and newly developed algorithms for object-based high resolution image (pre-) processing, feature extraction, change detection, classification and interpretation are developed, applied and evaluated. The analysis chain is demonstrated with satellite imagery acquired over Iranian nuclear facilities.
Author: Eric D. Conway
Publisher: JHU Press
ISBN: 9780801855771
Category : Science
Languages : en
Pages : 270
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Book Description
The program requires a Macintosh, Windows, or Windows 95 operating system.
Author: Javier Marcello
Publisher:
ISBN: 9783039217571
Category : Electronic books
Languages : en
Pages : 1
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Book Description
Recently, growing interest in the use of remote sensing imagery has appeared to provide synoptic maps of water quality parameters in coastal and inner water ecosystems;, monitoring of complex land ecosystems for biodiversity conservation; precision agriculture for the management of soils, crops, and pests; urban planning; disaster monitoring, etc. However, for these maps to achieve their full potential, it is important to engage in periodic monitoring and analysis of multi-temporal changes. In this context, very high resolution (VHR) satellite-based optical, infrared, and radar imaging instruments provide reliable information to implement spatially-based conservation actions. Moreover, they enable observations of parameters of our environment at greater broader spatial and finer temporal scales than those allowed through field observation alone. In this sense, recent very high resolution satellite technologies and image processing algorithms present the opportunity to develop quantitative techniques that have the potential to improve upon traditional techniques in terms of cost, mapping fidelity, and objectivity. Typical applications include multi-temporal classification, recognition and tracking of specific patterns, multisensor data fusion, analysis of land/marine ecosystem processes and environment monitoring, etc. This book aims to collect new developments, methodologies, and applications of very high resolution satellite data for remote sensing. The works selected provide to the research community the most recent advances on all aspects of VHR satellite remote sensing.
Author: Thomas Blaschke
Publisher: Springer Science & Business Media
ISBN: 3540770585
Category : Science
Languages : en
Pages : 804
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Book Description
This book brings together a collection of invited interdisciplinary persp- tives on the recent topic of Object-based Image Analysis (OBIA). Its c- st tent is based on select papers from the 1 OBIA International Conference held in Salzburg in July 2006, and is enriched by several invited chapters. All submissions have passed through a blind peer-review process resulting in what we believe is a timely volume of the highest scientific, theoretical and technical standards. The concept of OBIA first gained widespread interest within the GIScience (Geographic Information Science) community circa 2000, with the advent of the first commercial software for what was then termed ‘obje- oriented image analysis’. However, it is widely agreed that OBIA builds on older segmentation, edge-detection and classification concepts that have been used in remote sensing image analysis for several decades. Nevert- less, its emergence has provided a new critical bridge to spatial concepts applied in multiscale landscape analysis, Geographic Information Systems (GIS) and the synergy between image-objects and their radiometric char- teristics and analyses in Earth Observation data (EO).
Author: Francisco Javier Mesas Carrascosa
Publisher: MDPI
ISBN: 3036505261
Category : Technology & Engineering
Languages : en
Pages : 174
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Book Description
The advances in unmanned aerial vehicle (UAV) platforms and onboard sensors in the past few years have greatly increased our ability to monitor and map crops. The ability to register images at ultrahigh spatial resolution at any moment has made remote sensing techniques increasingly useful in crop management. These technologies have revolutionized the way in which remote sensing is applied in precision agriculture, allowing for decision-making in a matter of days instead of weeks. However, it is still necessary to continue research to improve and maximize the potential of UAV remote sensing in agriculture. This Special Issue of Remote Sensing includes different applications of UAV remote sensing for crop management, covering RGB, multispectral, hyperspectral and light detection and ranging (LiDAR) sensor applications aboard UAVs. The papers reveal innovative techniques involving image analysis and cloud points. However, it should be emphasized that this Special Issue is a small sample of UAV applications in agriculture and that there is much more to investigate.
Author: Jenice Aroma R.
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 5
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Book Description
The satellite image based applications are highly utilized nowadays from simple purposes like vehicle navigation to complex surveillance and virtual environment modeling projects. On increased population rate, the depletion of natural resources is highly unavoidable and it leads to increased threats on natural hazards. In order to protect and overcome the physical losses on devastation of properties, the risk mapping models such as weather forecasts, drought modeling and other hazard assessment models are in need.
Author: Yifang Ban
Publisher: Springer
ISBN: 331947037X
Category : Technology & Engineering
Languages : en
Pages : 448
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Book Description
Written by world renowned scientists, this book provides an excellent overview of a wide array of methods and techniques for the processing and analysis of multitemporal remotely sensed images. These methods and techniques include change detection, multitemporal data fusion, coarse-resolution time series processing, and interferometric SAR multitemporal processing, among others. A broad range of multitemporal datasets are used in their methodology demonstrations and application examples, including multispectral, hyperspectral, SAR and passive microwave data. This book features a variety of application examples covering both land and aquatic environments. Land applications include urban, agriculture, habitat disturbance, vegetation dynamics, soil moisture, land surface albedo, land surface temperature, glacier and disaster recovery. Aquatic applications include monitoring water quality, water surface areas and water fluctuation in wetland areas, spatial distribution patterns and temporal fluctuation trends of global land surface water, as well as evaluation of water quality in several coastal and marine environments. This book will help scientists, practitioners, students gain a greater understanding of how multitemporal remote sensing could be effectively used to monitor our changing planet at local, regional, and global scales.
Author: Seema Sahdev
Publisher: Springer Nature
ISBN: 9811520976
Category : Political Science
Languages : en
Pages : 380
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Book Description
This book provides an overview of the ecological indicators of landscape dynamics in the context of geographical landscape integration. Landscape dynamics depicts every change that occurs in the physical, biological, and cognitive assets of a landscape. To understand and interpret the complex physical, biological, and cognitive phenomena of landscapes, it is necessary to operate conceptually and practically on a broad range of spatial and temporal scales. Rapid land use changes have become a concern to environmentalists and planners because of their impacts on the natural ecosystem, which further determines socioeconomic dynamics. In this regard, the book discusses case studies that share new insights into how landscape patterns and processes impact small creatures, and how small creatures in turn influence landscape structure and composition. In turn, the relevant aspects of land use and land cover dynamics are covered, and the multi-faceted relationship between the substrata and ecological community is highlighted. The book is unique in its focus on the application of spatial informatics such as automatic building extraction from high-resolution imagery; a soil resource inventory for meeting the challenges of land degradation; hydrological modeling; the temporal variation analysis of glacier area and the identification and mapping of glacial lakes; morphometric analysis of river basins; and the monitoring and modeling of urban sprawl, among other features.
