19 Application of AHP-GIS Technology to Assess Congestion Vulnerability, a Case Study of Ranchi City, India; Alok Bhushan Mukherjee, Department of Remote Sensing, Birla Institute of Technology Mesra, Ranchi, India Akhouri Pramod Krishna, Department of Remote Sensing, Birla Institute of Technology Mesra, Ranchi, India Nilanchal Patel, Department of Remote Sensing, Birla Institute of Technology M...

In this paper different types of image classification will be studied. Decision level fusion, using a specific criterion or algorithm to integrate the classified results from different classifiers, has shown great benefits to improve classification accuracy of multi-source remote sensing images. Based on a survey to hyperspectral remote sensing classification techniques and decision level fusio...

X. Li1, X. W. Li2,3, K. Roth4, M. Menenti5, and W. Wagner6 1Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, 730000, China 2Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, 100101, China 3School of Geography and Remote Sensing Science, Beijing Normal University, Beijing, 100875, China 4Institute of Envir...

The IEEE Geoscience and Remote Sensing Society (GRSS) Technical Committee on Frequency Allocation in Remote Sensing (FARS) is charged with providing recommendations and responses to queries on interference and frequency allocation issues in passive and active microwave remote sensing. In response to questions stemming from proposals to develop ultra-widehand (UWB) vehicular radar systems operat...

Profiting from the development of space remote sensing technology, the amount of remote sensing image data obtained by satellite is increasing dramatically; however, how to deal with these data quickly and efficiently has turned out to be a great computational challenge. With the rapid development of general-purpose GPU computing technology, researchers improved remote sensing applications base...

This introductory chapter defines the scope of urban remote sensing research. It begins with a discussion on the rationale leading to the development of remote sensing for urban studies and the motivation behind this book project emphasizing the need to adopt a broad vision on urban remote sensing research. It then discusses the benefits and possible challenges of using remote sensing for urban...

The automatic registration of multi-source remote sensing images (RSI) is a research hotspot of remote sensing image preprocessing currently. A special automatic image registration module named the Image Autosync has been embedded into the ERDAS IMAGINE software of version 9.0 and above. The registration accuracies of the module verified for the remote sensing images obtained from different pla...

International Journal of Remote Sensing Publication details, including instructions for authors and subscription information: http://www.informaworld.com/smpp/title~content=t713722504 A new process for the segmentation of high resolution remote sensing imagery Z. Chen ab; Z. Zhao a; P. Gong b; B. Zeng c a Institute of Remote Sensing Applications, Chinese Academy of Science. Beijing 100101. Peop...

In present days remote sensing is most used application in many sectors. This remote sensing uses different images like multispectral, hyper spectral or ultra spectral. The remote sensing image classification is one of the significant method to classify image. In this state we classify the maximum likelihood classification with fuzzy logic. In this we experimenting fuzzy logic like spatial, spe...

As a follow-up to the Best Paper Award of 2014, recognizing the most outstanding papers in the area of remote sensing techniques, design and applications published in Remote Sensing, we are pleased to announce the Remote Sensing Best Paper Award for the year 2015. Nominations were selected by the Editor-in-Chief and selected Associate Editors from among all the papers published in the year 2011...