Sökning: "object-based classification"
Visar resultat 16 - 20 av 27 uppsatser innehållade orden object-based classification.
16. Evaluation of pixel based and object based classification methods for land cover mapping with high spatial resolution satellite imagery, in the Amazonas, Brazil
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : In the state of Acre, Brazil, there is ongoing land use change, where inhabitants of this part of the Amazonian rainforest practice shifting agriculture. Practicing this type of agriculture is, according to the SKY Rainforest Rescue organization, damaging to forest ecosystems. LÄS MER
17. Exploring the relationships between biodiversity and benthic habitat in the Primeiras and Segundas Protected Area, Mozambique
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : A Reserva dos Arquip�lagos Primeiras e Segundas, localizada no norte de Mo�ambique, � a maior zona mar�tima protegida de �frica, estendendo-se por mais de 200 km de costa. Apesar da sua import�ncia para a economia local, informa��es sobre os seus ecossistemas marinhos, e particularmente habitats b�nticos, s�o escassas. LÄS MER
18. Optimering av modelleringsteknik i BIM : I samarbete med Peab Sverige AB
Kandidat-uppsats, Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)Sammanfattning : Building Information Modelling, ByggnadsInformationsModellering på svenska eller mer känt som förkortning BIM är en arbetsmetod som kan tillämpas inom byggbranschen. Denna moderna digitala metod tar projektering till en helt ny nivå. LÄS MER
19. Urban classification by pixel and object-based approaches for very high resolution imagery
Magister-uppsats, Högskolan i Gävle/Samhällsbyggnad, GISSammanfattning : Recently, there is a tremendous amount of high resolution imagery that wasn’t available years ago, mainly because of the advancement of the technology in capturing such images. Most of the very high resolution (VHR) imagery comes in three bands only the red, green and blue (RGB), whereas, the importance of using such imagery in remote sensing studies has been only considered lately, despite that, there are no enough studies examining the usefulness of these imagery in urban applications. LÄS MER
20. Object-based Land Cover Classification with Orthophoto and LIDAR Data
Master-uppsats, KTH/Geodesi och geoinformatikSammanfattning : Image classification based on remotely sensed data is the primary domain of automatic mapping research. With the increasing of urban development, keeping geographic database updating is imminently needed. Automatic mapping of land cover types in urban area is one of the most challenging problems in remote sensing. LÄS MER