In: Wagner W., Székely, В. (eds.): ISPRS ТС VII Symposium - 100 Years ISPRS, Vienna, Austria, July 5-7, 2010, IAPRS, Voi. XXXVIII, Part 7B 
3. THE ABILITIES AND FEATURES OF THE SYSTEM 
3.1 The management of land cover remote sensing sample 
imagers 
With the expanding of the ability of remote sensing imaging, 
the size of the land cover remote sensing sample images that 
can be collected is increased progressively. At the same time, to 
accomplish the assistant interpretation of the land cover remote 
sensing images, the remote sensing sample images in different 
time and space are needed. Therefore, it is more important to 
manage the data of land cover remote sensing sample images 
efficiently. This system constructs strict and efficient sample 
images database in the server, provides the ability of adding 
record, deleting record, updating record, integrity check, auto 
backup, and so on. 
3.2 Land cover remote sensing sample image retrieval 
To provide powerful and convenient querying functions, the 
system designs and realizes many query patterns: based on the 
top-level land category, based on the second-level land category, 
based on the sensor, based on the season, based on the province 
or region. Besides, the system supports the query pattern of 
combination of the above querying conditions. 
Meanwhile, the system offers two kinds of querying interface: 
list style and grid style, see Figure 2 and Figure 3. The former 
mainly shows the feature information of every sample image, 
and the later mainly shows the sample image. Figure 4 shows 
the interface of inserting record in the database. 
Figure 2. list style interface 
Figure 3 grid net interface 
2“ - » < . « — * . * < >*♦ 
-s.T.-..-.-...Л.Г.-..Л : 
Figure 4 Insert record in the database 
3.3 Update of the database 
The update of land cover remote sensing sample image database 
includes modifying, adding and deleting the database records. 
The database record’s modification and deletion must be 
accomplished by the server, adding records can be operated 
either by the server or the customer. If the customer requests to 
add the sample image records, it is necessary to ensure by the 
server. Putting the power of updating the database in the server 
is good to run the system stably and precisely. 
3.4 The features of the system 
This paper implements the land cover remote sensing sample 
image web retrieval system based on the Visual Studio .NET 
platform. This system adopts Visual C# development language 
and applies the web service, ASP.NET, ADO.NET and XML 
technology. 
The system can be released by the internet, supports the 
extension of land cover sample image database, which can be 
based on the internet nodes. It realizes the auto-connection of 
local picture and the remote sensing sample image, it can 
accomplish the query work according to the land category, the 
sensor, the time and other factor, or the random combination of 
these features. It supports many commercial remote sensing 
sensors, such as SPOT5, QuickBird, IKONOS, ALOS, IRS- 
P5/P6, aerial images, and supports different terrain. The system 
divides the nation into 7 regions: Northeast China, North China, 
East China, Middle China, South China, Northwest China, 
Southwest China and 32 provinces. 
4. CONCLUSIONS 
With the size of the remote sensing image data is progressively 
growth and the development of the interpretation technology of 
the remote sensing images, the issue of the remote sensing 
image retrieval is a research hotspot in the field of the remote 
sensing images’ processing and application. According to the 
practical situation of the second round of national land use 
inventory program, this paper focuses on the problem of the 
land cover remote sensing image web retrieval. It introduces 
research results in the system’s design, workflow, platform, 
data organization, database table, development skills, provides 
an effective resolution to remote sensing images retrieval based 
on web service. The system has been used to the second round 
of national land use inventory program successfully. It greatly 
improved the efficiency and accuracy of the remote sensing 
images’ interpretation, promoted the progress of the results’ 
checking work. 
References: 
Dan Wahlin., 2002. XML for ASP.NET Developers. Sams 
Publisher. 
G. Andrew Duthie., 2002. Microsoft ASP.NET step by step. 
Microsoft Pres. 
Jixian Zhang, 2010, Multi-source remote sensing data fusion: 
status and trends. International Journal of image and data 
fusion, 1(1), pp.5-24. 
John Sharp., 2006. Microsoft Visual C# 2005 step by step. 
Microsoft Press . 
Leading group office of the Second Round of National Land 
Use Inventory Program. The total project of the second round of 
National Land Use Inventory Program. [EB/OL]. 
http://www.mlr.gov.cn/pub/mlr/documents/P020070607579882 
779005.doc (accessed 28 Sep. 2008)