IEEE Trans Pattern Anal Mach Intell - Building Development Monitoring in Multitemporal Remotely Sensed Image Pairs with Stochastic Birth-Death Dynamics.

Tópicos

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Resumo

In this paper, we introduce a new probabilistic method which integrates building extraction with change detection in remotely sensed image pairs. A global optimization process attempts to find the optimal configuration of buildings, considering the observed data, prior knowledge, and interactions between the neighboring building parts. We present methodological contributions in three key issues: 1) We implement a novel object-change modeling approach based on Multitemporal Marked Point Processes, which simultaneously exploits low-level change information between the time layers and object-level building description to recognize and separate changed and unaltered buildings. 2) To answer the challenges of data heterogeneity in aerial and satellite image repositories, we construct a flexible hierarchical framework which can create various building appearance models from different elementary feature-based modules. 3) To simultaneously ensure the convergence, optimality, and computation complexity constraints raised by the increased data quantity, we adopt the quick Multiple Birth and Death optimization technique for change detection purposes, and propose a novel nonuniform stochastic object birth process which generates relevant objects with higher probability based on low-level image features.

Resumo Limpo

paper introduc new probabilist method integr build extract chang detect remot sens imag pair global optim process attempt find optim configur build consid observ data prior knowledg interact neighbor build part present methodolog contribut three key issu implement novel objectchang model approach base multitempor mark point process simultan exploit lowlevel chang inform time layer objectlevel build descript recogn separ chang unalt build answer challeng data heterogen aerial satellit imag repositori construct flexibl hierarch framework can creat various build appear model differ elementari featurebas modul simultan ensur converg optim comput complex constraint rais increas data quantiti adopt quick multipl birth death optim techniqu chang detect purpos propos novel nonuniform stochast object birth process generat relev object higher probabl base lowlevel imag featur

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