Integrated shadow removal based on photogrammetry and image analysis
نویسندگان
چکیده
Y. LI*{, P. GONG{§ and T. SASAGAWA" {International Institute for Earth System Science, Nanjing University, Nanjing, Jiangsu, 210093, PRC {Institute of Remote Sensing Applications, Chinese Academy of Sciences, 100101, Beijing, PRC §Center for Assessment and Monitoring of Forest and Environmental Resources (CAMFER), UC Berkeley, 151 Hilgard Hall, Berkeley, CA, 94720-3110, USA "PASCO Corporation, 1-1-2 Higashiyama, Meguro-ku, Tokyo, 153-0043, Japan
منابع مشابه
Use of Markov Random Fields for automatic cloud/shadow detection on high resolution optical images
In this study, we propose an automatic detection algorithm for cloud/shadow on remote sensing optical images. It is based on physical properties of clouds and shadows, namely for a cloud and its associated shadow: both are connex objects of similar shape and area, and they are related by their relative locations. We show that these properties can be formalized using Markov Random Field (MRF) fr...
متن کاملRock mass structural characterization via short-range digital photogrammetry
Because of the important role of rock mass structural properties on its mechanical behavior, determining the qualitative and quantitative properties of has been a subject of intense research. In this regard, numerous techniques such as scanline surveying, cell mapping, and geologic structure mapping have been proposed. However, applying such field surveying techniques for rock mass properties i...
متن کاملPerformance Evaluation of Local Detectors in the Presence of Noise for Multi-Sensor Remote Sensing Image Matching
Automatic, efficient, accurate, and stable image matching is one of the most critical issues in remote sensing, photogrammetry, and machine vision. In recent decades, various algorithms have been proposed based on the feature-based framework, which concentrates on detecting and describing local features. Understanding the characteristics of different matching algorithms in various applications ...
متن کاملRetinex theory-based shadow detection and removal in single outdoor image
Purpose – Shadows, the common phenomena in most outdoor scenes, bring many problems in practical image processing. Shadow detection and removal, especial in uncalibrated outdoor image, is still a difficult problem. The purpose of this paper is to detect and to remove shadows in single outdoor image based on retinex theory. Design/methodology/approach – The shadow extraction algorithm originates...
متن کاملPaired Region Approach based Shadow Detection and Removal
Shadow detection and removal in various real life scenarios including surveillance system, indoor outdoor scenes, and computer vision system remained a challenging task. Shadow in traffic surveillance system may misclassify the actual object, reducing the system performance. However, shadow causes problems in computer vision applications such as segmentation, object detection and object countin...
متن کامل