Sökning: "pixel-based classification"

Visar resultat 1 - 5 av 14 uppsatser innehållade orden pixel-based classification.

1. 1. Mapping Fire Salamander (Salamandra salamandra) Habitat Suitability in Baden-Württemberg with Multi-Temporal Sentinel-1 and Sentinel-2 Imagery

   Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Författare :Andreas Eriksson; [2022]
   Nyckelord :Geography; GIS; Habitat Suitability; Remote Sensing; Image Classification; Earth and Environmental Sciences;

   Sammanfattning : Remote sensing image classification is used in land cover, forest type and tree species classifications but rarely considered for habitat suitability modelling of animal and plant species. It is instead common that land cover products derived from remote sensing data are used in these modelling problems, even though satellite imagery can provide more detailed information. LÄS MER

3. 2. Identifiering av den invasiva lupinen (Lupinus polyphyllus) : Övervakning av blomsterlupiner längst vägkanter med hjälp av högupplösta UAV-data och GIS

   Kandidat-uppsats, Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

   Författare :Pontus Petersen; [2022]
   Nyckelord :Classification; Random Forest; Maximum likelihood; UAV; Lupinus polyphyllus; Lupine; Klassificering; Random Forest; Maximum likelihood; UAV; Lupinus polyphyllus; Lupiner;

   Sammanfattning : Sveriges vägdiken och vägkanter är hem till många blommor och växtarter. Lupin-blomman Lupinus polyphyllus är en invasiv växtart som kom till Sverige under 1800-talet. Lupinblommans egenskaper gör att växten konkurrerar ut andra växtarter och negativt påverkar svensk biologisk mångfald. LÄS MER

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

   Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

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

   Sammanfattning : 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. LÄS MER

5. 4. Automatic image-based road crack detection methods

   Master-uppsats, KTH/Geodesi och satellitpositionering

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

   Sammanfattning : 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. LÄS MER

7. 5. Forest Change Mapping in Southwestern Madagascar using Landsat-5 TM Imagery, 1990 –2010

   Magister-uppsats, Högskolan i Gävle/Samhällsbyggnad, GIS

   Författare :Jeroen Grift; [2016]
   Nyckelord :Deforestation; pixel-based classification; object-based classification; landscape metrics; scaling structure;

   Sammanfattning : The main goal of this study was to map and measure forest change in the southwestern part of Madagascar near the city of Toliara in the period 1990-2010. Recent studies show that forest change in Madagascar on a regional scale does not only deal with forest loss, but also with forest growth However, it is unclear how the study area is dealing with these patterns. LÄS MER