Essays about: "Pixel-based Methods"

Showing result 6 - 10 of 12 essays containing the words Pixel-based Methods.

  1. 6. Joint use of Sentinel-1 and Sentinel-2 for land cover classification : a machine learning approach

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Miguel Gumersindo Castro Gomez; [2017]
    Keywords : Random Forest; temporal series; Physical Geography and Ecosystem analysisoptical; GEM; land cover classification; SAR; Earth and Environmental Sciences;

    Abstract : Reliable information on land cover is required to assist and help in the decision-making process needed to face the environmental challenges society has to deal with due to climate change and other driving forces. Different methods can be used to gather this information but satellite earth observation techniques offer a suitable approach based on the coverage and type of data that are provided. READ MORE

  2. 7. Automatic image-based road crack detection methods

    University essay from KTH/Geodesi och satellitpositionering

    Author : Liene Some; [2016]
    Keywords : Road cracks; Crack detection; Mobile mapping; Deep learning; CrackIT; Caffe;

    Abstract : Pavement crack detection is an important procedure in road maintenanceand traffic safety. Traditionally, the road inventory was performed by field inspection, now it is replaced by the evaluation of mobile mapping system images. The acquired images are still a significant source of temporal condition of thepavement surface. READ MORE

  3. 8. Urban Vegetation Mapping Using Remote Sensing Techniques : A Comparison of Methods

    University essay from Stockholms universitet/Institutionen för naturgeografi

    Author : Fredrik Palm; [2015]
    Keywords : Vegetation Mapping; Window Independent Contextual Segmentation WICS ; Supervised Classification; Object Based Image Analysis;

    Abstract : The aim of this study is to compare remote sensing methods in the context of a vegetation mapping of an urban environment. The methods used was (1) a traditional per-pixel based method; maximum likelihood supervised classification (ENVI), (2) a standard object based method; example based feature extraction (ENVI) and (3) a newly developed method; Window Independent Contextual Segmentation (WICS) (Choros Cognition). READ MORE

  4. 9. Evaluation of pixel based and object based classification methods for land cover mapping with high spatial resolution satellite imagery, in the Amazonas, Brazil

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Linnea Jonsson; [2015]
    Keywords : support vector machine; maximum likelihood; SPOT-5; classification; geography; physical geography; RBF-kernel; OBIA; multiresolution segmentation; Earth and Environmental Sciences;

    Abstract : 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. READ MORE

  5. 10. Benthic mapping of the Bluefields Bay fish sanctuary, Jamaica

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Karen Mcintyre; [2015]
    Keywords : remote sensing; image classification; GIS; acoustic survey; benthic habitat mapping; Earth and Environmental Sciences;

    Abstract : Small island states, such as those in the Caribbean, are dependent on the nearshore marine ecosystem complex and its resources; the goods and services provided by seagrass and coral reef for example, are particularly indispensable to the tourism and fishing industries. In recognition of their valuable contributions and in an effort to promote sustainable use of marine resources, some nearshore areas have been designated as fish sanctuaries, as well as marine parks and protected areas. READ MORE