地下水数值模型界面Ground Water Vistas介绍——以美国Edwards含水层Barton泉稳定流模型为例

Ground Water Vistas软件是目前国际上盛行的三维地下水水流和溶质运移模拟的图形使用界面.本文介绍了Ground Water Vistas在三种模式下的功能,分析评述了它的优缺点.并以美国Edwards含水层Barton泉稳定流模型为实例,展示了Ground Water Vistas强大的前处理、后处理功能及其优良的三维可视化效果.Edwards含水层喀斯特发育程度极高,其模型研究对我国喀斯特地区地下水资源的评价与管理具有借鉴意义和指导作用.

Perceptual Organization, Figure-Ground, Attention and Saliency

Notions of figure-ground, inside-outside are difficult to define in a computational sense, yet seem intuitively meaningful. We propose that "figure" is an attention-directed region of visual information processing, and has a non-discrete boundary. Associated with "figure" is a coordinate frame and a "frame curve" which helps initiate the shape recognition process by selecting and grouping convex image chunks for later matching- to-model. We show that human perception is biased to see chunks outside the frame as more salient than those inside. Specific tasks, however, can reverse this bias. Near/far, top/bottom and expansion/contraction also behave similarly.

Monitoring Activities from Multiple Video Streams: Establishing a Common Coordinate Frame

Passive monitoring of large sites typically requires coordination between multiple cameras, which in turn requires methods for automatically relating events between distributed cameras. This paper tackles the problem of self-calibration of multiple cameras which are very far apart, using feature correspondences to determine the camera geometry. The key problem is finding such correspondences. Since the camera geometry and photometric characteristics vary considerably between images, one cannot use brightness and/or proximity constraints. Instead we apply planar geometric constraints to moving objects in the scene in order to align the scene"s ground plane across multiple views. We do not assume synchronized cameras, and we show that enforcing geometric constraints enables us to align the tracking data in time. Once we have recovered the homography which aligns the planar structure in the scene, we can compute from the homography matrix the 3D position of the plane and the relative camera positions. This in turn enables us to recover a homography matrix which maps the images to an overhead view. We demonstrate this technique in two settings: a controlled lab setting where we test the effects of errors in internal camera calibration, and an uncontrolled, outdoor setting in which the full procedure is applied to external camera calibration and ground plane recovery. In spite of noise in the internal camera parameters and image data, the system successfully recovers both planar structure and relative camera positions in both settings.

Visual Navigation: Constructing and Utilizing Simple Maps of an Indoor Environment

The goal of this work is to navigate through an office environmentsusing only visual information gathered from four cameras placed onboard a mobile robot. The method is insensitive to physical changes within the room it is inspecting, such as moving objects. Forward and rotational motion vision are used to find doors and rooms, and these can be used to build topological maps. The map is built without the use of odometry or trajectory integration. The long term goal of the project described here is for the robot to build simple maps of its environment and to localize itself within this framework.

Levantamento pedológico de uma área-piloto relacionada ao Projeto BiosBrasil (Conservation and Sustainable Management of Below-Ground Biodiversity: Phase I), município de Benjamin Constant (AM): janela 6.

2005

Solos das áreas-piloto do Projeto BiosBrasil (Conservation and Sustainable Management of Below-Ground Biodiversity: Phase I), Município de Benjamin Constant, Estado do Amazonas.

2005

Levantamento pedológico de uma área-piloto relacionada ao Projeto BiosBrasil (Conservation and Sustainable Management of Below-Ground Biodiversity: Phase I), Município de Benjamin Constant (AM): Janela 6

2005

Solos das áreas-piloto do Projeto BiosBrasil (Conservation and Sustainable Management of Below-Ground Biodiversity: Phase I), Município de Benjamin Constant, Estado do Amazonas

2005

Levantamento pedológico de uma área-piloto relacionada ao projeto BiosBrasil (Conservation and Sustainable Management of Below-Ground Biodiversity: Phase I), Município de Benjamin Constant (AM): janela 6.

2005

Solos das áreas-piloto do projeto BiosBrasil (Conservation and Sustainable Management of Below-Ground Biodiversity: Phase I), município de Benjamin Constant, Estado do Amazonas.

2005