Titlebook: Object-Based Image Analysis; Spatial Concepts for Thomas Blaschke (Prof.),Stefan Lang (Dr.),Geoffrey Book 20081st edition Springer-Verlag B

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書目名稱Object-Based Image Analysis影響因子(影響力)




書目名稱Object-Based Image Analysis影響因子(影響力)學(xué)科排名




書目名稱Object-Based Image Analysis網(wǎng)絡(luò)公開度




書目名稱Object-Based Image Analysis網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Object-Based Image Analysis被引頻次




書目名稱Object-Based Image Analysis被引頻次學(xué)科排名




書目名稱Object-Based Image Analysis年度引用




書目名稱Object-Based Image Analysis年度引用學(xué)科排名




書目名稱Object-Based Image Analysis讀者反饋




書目名稱Object-Based Image Analysis讀者反饋學(xué)科排名

忘恩負義的人

Progressing from object-based to object-oriented image analysisally a segmentation step is followed by a classification step, a new workflow is illustrated where the objects themselves are altered constantly in order to move from object primitives in an early stage towards objects of interest in a final stage of the analysis. Consequently, this workflow can be

Alienated

nullify

Image objects and geographic objectserous successful case studies, little effort has been directed towards building the conceptual foundations underlying it. In particular, there are at least two questions that need a clear answer before OBIA can be considered a discipline: i) What is the definition and ontological status of both imag

威脅你

Using texture to tackle the problem of scale in land-cover classificationl imagery. We argue that in many of its current implementations, OBIA is not an accurate model of this system. Drawing from current theories in cognitive psychology, we propose a new conceptual model which we believe more accurately represents how the HVS performs aerial image interpretation. The fi

Pcos971

Domain-specific class modelling for one-level representation of single treesthe specific scale domains of the target features addressed. Two near-natural forest settings served as testing environment for a combined use of airborne laser scanning (ALS) and optical image data to perform automated tree-crown delineation. The primary methodological aim was to represent the enti

overhaul

Object recognition and image segmentation: the Feature Analyst? approachve problem in the maintenance cycle of a Geographic Information System (GIS). Traditional collection methods, such as hand-digitizing, are slow, tedious and cannot keep up with the ever-increasing volume of imagery assets. In this paper we describe the methodology underlying the Feature Analyst auto

arcane

A procedure for automatic object-based classificationThe emerging object-based methodology for image classification appears to be a better way to mimic the human thought process. Unlike pixel-based techniques which only use the layer pixel values, the object-based techniques can also use shape and context information of a scene texture. These extra de

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